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awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
https://github.com/valeman/awesome-conformal-prediction
Last synced: 3 days ago
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Events
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Books
- Practical Guide to Applied Conformal Prediction: Learn and apply the best uncertainty frameworks to your industry applications - Guide-Applied-Conformal-Prediction/dp/1805122762), [**Amazon India ๐ฎ๐ณ**](https://www.amazon.in/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS), [**Amazon Germany ๐ฉ๐ช**](https://www.amazon.de/Valeriy-Manokhin-ebook/dp/B0C2VLR5KS/), [**Amazon France ๐ซ๐ท**](https://www.amazon.fr/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS/), [**Amazon Spain ๐ช๐ธ**](https://www.amazon.es/Practical-Guide-Applied-Conformal-Prediction/dp/1805122762), [**Amazon Canada ๐จ๐ฆ**](https://www.amazon.ca/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS/), [**Amazon Japan ๐ฏ๐ต**](https://www.amazon.co.jp/Valeriy-Manokhin-ebook/dp/B0C2VLR5KS/) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Algorithmic Learning in a Random World
- Conformal Prediction for Reliable Machine Learning - Shyang Ho, Vladimir Vovk (2014) OLD BOOK, largely out of date, no code
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
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- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Practical Guide to Applied Conformal Prediction: Learn and apply the best uncertainty frameworks to your industry applications - Guide-Applied-Conformal-Prediction/dp/1805122762), [**Amazon India ๐ฎ๐ณ**](https://www.amazon.in/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS), [**Amazon Germany ๐ฉ๐ช**](https://www.amazon.de/Valeriy-Manokhin-ebook/dp/B0C2VLR5KS/), [**Amazon France ๐ซ๐ท**](https://www.amazon.fr/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS/), [**Amazon Spain ๐ช๐ธ**](https://www.amazon.es/Practical-Guide-Applied-Conformal-Prediction/dp/1805122762), [**Amazon Canada ๐จ๐ฆ**](https://www.amazon.ca/Practical-Guide-Applied-Conformal-Prediction-ebook/dp/B0C2VLR5KS/), [**Amazon Japan ๐ฏ๐ต**](https://www.amazon.co.jp/Valeriy-Manokhin-ebook/dp/B0C2VLR5KS/) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐๐๐๐๐
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
- Algorithmic Learning in a Random World
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Theses
- Machine Learning for Probabilistic Prediction
- Conformal and Venn Predictors for large, imbalanced and sparse chemoinformatics data
- Competitive online algorithms for probabilistic prediction
- Conformal Prediction and Testing under On-line Compression Models
- Adaptive Online Learning
- On discovery and exploitation of temporal structure in data sets
- Black-box Security Measuring Black-box Information Leakage via Machine Learning
- Small and Large Scale Probabilistic Classifiers with Guarantees of Validity
- Confidence and Venn Machines and Their Applications to Proteomics
- Conformal Anomaly Detection - detecting abnormal trajectories in surveillance applications
- Inductive Confidence Machine for Pattern Recognition - is it the next step towards AI
- Distribution Free Prediction Intervals for Multiple Functional Regression
- Probabilistic Load Forecasting with Deep Conformalized Quantile Regression
- Model-free methods for multiple testing and predictive inference
- Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction
- Predictive Maintenance with Conformal and Probabilistic Prediction: A Commercial Case Study
- Risk-Sensitive Decision-Making for Autonomous-Driving
- Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction
- Coreset-based Protocols for Machine Learning Classification
- Conformal survival predictions at a user-controlled time point
- Reliable Machine Learning with ConformalPrediction: A Review with Contributions
- Nonconformity Measures and Ensemble Strategies - An Analysis of Conformal Predictor Efficiency and Validity
- Determine and explain confidence in predicting violations on inland ships in the Netherlands
- Machine Learning with Conformal Prediction for Predictive Maintenance tasks in Industry 4.0
- Conformal Prediction Methods in Finance
- Confidence Predictions in Pharmaceutical Sciences
- Trustworthy explanations: Improved decision support through well-calibrated uncertainty quantification
- Data Augmentation and Conformal Prediction
- Conformal prediction and copula based methods for profile monitioring
- An Active Learning Approach for Reject Inference in Credit Scoring using Conformal Prediction Intervals on Real and Semi-Artificial Data
- Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries
- Confidence Predictions in Pharmaceutical Sciences
- Conformal Prediction in Limit Order Books: Calibration and Uncertainty Quantification of DeepLOB
- A New Perspective on Uncertainty Techniques in Regression
- CONFINE: Conformal Prediction for Interpretable Neural Networks
- Conformal prediction and uncertainty quantification in recommender systems
- Machine learning-based anti-cancer drug treatment optimization
- Towards Uncertainty-Aware Hardware Trojan Detection
- Conformal prediction and beyond - 98/conformal-prediction)
- Reliable Time Series Forecasting Interval Forecasting for Time Series with Machine Learning Models and EnbPI
- A Diagnostic and Prescriptive Conformal Prediction Framework: Applied to Sleep Disorders
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Tutorials
- A Tutorial on Conformal Prediction
- Conformal Prediction in Spark
- Tutorial on Venn-ABERS prediction
- An Introduction to Conformal Prediction
- Introduction to Conformal Prediction
- Conformal prediction A Tiny Tutorial on Predicting with Confidence
- Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
- A Tutorial on Conformal Prediction Part 2: Conditional Coverage and Diagnostics
- Beyond Conformal Prediction: Tutorial on Conformal Part 3
- Getting predictions intervals with conformal inference
- Distribution-free inference tutorial At the IFDS 2021 Summer School
- Conformal Inference Tutorial
- Prediction intervals for any machine learning model - How to construct prediction intervals with the Jackknife+ using the MAPIE package
- Uncertainty Quantification (1): Enter Conformal Predictors
- Uncertainty Quantification (3): From Full to Split Conformal Methods
- Conformal Prediction and Venn Predictors A Tutorial on Predicting with Confidence
- Conformal Prediction in Genomics
- Conformal Prediction: A Visual Introduction
- A Conformal Prediction tutorial, an introductive review of the basics
- Tutorial on Conformal Prediction Claire Boyer Assistant Professor, LPSM, Paris Sorbonne Universitรฉ ; Margaux Zaffran PhD Candidate, EDF, Inria, CMAP, รcole Polytechnique
- Regression prediction intervals with MAPIE on Kaggle
- Conformal Predictions from Scratch in Numpy
- Introduction to Conformal Prediction
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - prediction) ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction: How to quantify uncertainty of machine learning models? ECAS-ENBIS courseโ ENBIS 2023 Annual conference
- Uncertainty Quantification (1): Enter Conformal Predictors
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - prediction) ๐ฅ๐ฅ๐ฅ๐ฅ
- Getting predictions intervals with conformal inference
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Courses
- Uncertain: Modern topics in uncertainty estimation - notes.pdf) by Aaron Roth (University of Pennsylvania, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Theory of Statistics
- 36-708 Statistical Methods for Machine Learning - Mellon course by Prof Larry Wasserman (2022)
- Course on Conformal Prediction
- Conformal Prediction - Advanced Topics in Statistical Learning, Spring 2023
- Conformal Methods for Efficient and Reliable Deep Learning
- Conformal Prediction 101 - in Portuguese ๐ต๐น
- Topics in Modern Statistical Learning
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Videos
- Treatment of Uncertainty in the Foundations of Probability
- Large-Scale Probabilistic Prediction With and Without Validity Guarantees
- Conformal testing in a binary model situation
- Protected probabilistic classification
- Retrain or not retrain: conformal test martingales for change-point detection
- A Tutorial on Conformal Prediction
- Steps Toward Trustworthy Machine Learning
- How to increase certainty in predictive modeling
- Recent Progress in Predictive Inference
- Some recent progress in predictive inference" (Stanford) @ MAD+
- Conformal Prediction in 2020
- Assumption-free prediction intervals for black-box regression algorithms
- Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019
- Conformal Prediction: Enhanced Method for Understanding the Prediction Quality
- Mondrian conformal predictive distributions
- Calibrating Multi-Class Models
- Conformal prediction in Orange
- Distribution-Free, Risk-Controlling Prediction Sets
- Conformal Prediction and Distribution-Free Calibration
- Reliable Diagnostics by Conformal Predictors
- Conformal Inference of Counterfactuals and Time-to-event Outcomes
- Conformal Inference of Counterfactuals and Individual Treatment effects(Stanford)
- Approximation to object conditional validity with inductive conformal predictors
- Ulf Johansson: Venn Predictors
- Transformer-based conformal predictors for paraphrase detection
- Conformal Inference of Counterfactuals and Individual Treatment Effects
- Model-Free Predictive Inference
- Shapley-value based inductive conformal prediction
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind
- Distribution-Free, Risk-Controlling Prediction Sets
- Assumption-Free, High-Dimensional Inference
- Neural Predictive Monitoring under Partial Observability
- Conformalized Kernel Ridge Regression and Its Efficiency
- Fast conformal classification using influence functions
- Valid inferential models and conformal prediction
- Mondrian conformal predictive distributions
- Evaluation of updating strategies for conformal predictive systems in the presence of extreme events
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data
- Class-wise confidence for debt prediction in real estate management
- How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
- Nested conformal prediction and quantile out-of-bag ensemble methods
- Panel with Michael I. Jordan, Vladimir Vovk, and Larry Wasserman, moderated by Aaditya Ramdas
- Black-box uncertainty - Anastasios Angelopoulos
- P.C. Mahalanobis Memorial Lectures 2020-21
- Rahul Vishwakarma: New Perspective on Machine Learning Predictions Under Uncertainty | SNIA Storage Developer Conference, Santa Clara 2019
- Adaptive Conformal Predictions for Time Series | ISDFS
- Recent progress in predictive inference
- Conformalized Survival Analysis with Adaptive Cutoffs
- Calibrating probabilistic hierarchical forecasts with conformal predictions
- Michael I. Jordan on Conformal Prediction
- Distribution-free Prediction: Exchangeability and Beyond
- Purdue Statistics Theme Seminar, Conformal Prediction in 2022
- WILL MY ROBOT ACHIEVE MY GOALS? PREDICTING THE PROBABILITY THAT AN MDP POLICY REACHES A USER-SPECIFIED BEHAVIOR TARGET
- Robust and Equitable Uncertainty Estimation
- Conformal prediction under feedback covariate shift for biomolecular design - Fannjiang (Berkeley, 2022)
- Conformal prediction in 2022
- Broadening the Scope of Conformal Inference
- Paper Reading Group - Fortuna, a Library for Uncertainty Quantification
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei
- 'MoroccoAI webinar - Dr. Soundouss Messoudi - 'Confidence learning using conformal prediction'
- Emmanuel Candes - A Taste of Conformal Prediction
- Uncertainty Quantification with the Fortuna library by Gianluca Detommaso (AWS)
- NISS/Merck Meetup on Conformal Inference: Advancing the Boundaries of Machine Learning 4.19.2023
- Max Kuhn - The Post-Modeling Model to Fix the Model
- ISDFS Talk: Robots that ask for help: Conformal Prediction for LLM Planners
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
- Three Easy Steps to Understand Conformal Prediction (CP), Conformity Score, Python Implementation
- Rising Stars #8: Clara Wong-Fannjiang (Genentech) - Prediction-Powered Inference
- Rising Stars #10 - Special Series on Conformal Prediction: Isaac Gibbs (Stanford University) Conformal Inference with Conditional Guarantees
- Conformal Prediction for Time Series with Modern Hopfield Networks
- Introducing Sequential Predictive Conformal Inference (SPCI)
- Conformal Prediction Intervals: Empowering Executives for Informed Decision
- Conformal Inference with Tidymodels - posit::conf(2023)
- ACon^2: Adaptive Conformal Consensus for Provable Blockchain Oracles
- Leveraging conformal prediction for calibrated probabilistic time series forecast
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
- Selection by Prediction with Conformal p-values
- Trustworthy Retrieval Augmented Chatbots Utilizing Conformal Predictors
- Radiology Mondrian Conformal Prediction Toolkit Tutorial
- Ulf Johansson: Venn Predictors
- Predicting with Confidence - Henrik Bostrรถm
- Venn Predictors Tutorial
- A Tutorial on Conformal Predictive Distributions
- Conformal Prediction Tutorial
- Foundations of Conformal Prediction - Full Conformal Predictors
- An introduction to conformal prediction - PyLadies Amsterdam - prediction-jan2024)
- Henrik Linusson: Conformal Prediction
- Analรญtica acelerada con Shapelets y conformal prediction, ~48 mins onwards - McBride-Ellis/talks) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Anushri Dixit - Planning with Confidence: Uncertainty Quantification for Safety-Critical Tasks
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effect
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind
- Mondrian conformal predictive distributions
- Ulf Johansson: Venn Predictors
- A Tutorial on Conformal Predictive Distributions
- Treatment of Uncertainty in the Foundations of Probability
- Retrain or not retrain: conformal test martingales for change-point detection
- A Tutorial on Conformal Prediction
- How to increase certainty in predictive modeling
- Recent Progress in Predictive Inference
- Conformal Prediction in 2020
- Assumption-free prediction intervals for black-box regression algorithms
- Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019
- Conformal Prediction: Enhanced Method for Understanding the Prediction Quality
- Conformal prediction in Orange
- Ulf Johansson: Venn Predictors
- Shapley-value based inductive conformal prediction
- Conformalized Survival Analysis with Adaptive Cutoffs
- Algo Hour โ Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei
- NISS/Merck Meetup on Conformal Inference: Advancing the Boundaries of Machine Learning 4.19.2023
- Introducing Sequential Predictive Conformal Inference (SPCI)
- Conformal Prediction Intervals: Empowering Executives for Informed Decision
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
- Selection by Prediction with Conformal p-values
- Analรญtica acelerada con Shapelets y conformal prediction, ~48 mins onwards - McBride-Ellis/talks) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Big Data: 4th lecture (uncertainty in learning, big data for NLP)
- Unveiling Precision: A Novel ML Framework for Accurate Probability Estimates by Abel and Edgar
- Henrik Linusson: Conformal Prediction
- Interview with Vladimir Vovk on Conformal Inference
- Error Embraced: Making Trustworthy Scientific Decisions with Imperfect Predictions - fannjiang (Genentech) (2024)
- Robust Yet Efficient Conformal Prediction Sets
- CLIMB Evergreen talk with Emmanuel Candรจs: Conformal Inference when Data is not Exchangeable
- Conformal Quantile Estimation in Economics
- Big Data: 4th lecture (uncertainty in learning, big data for NLP)
- Unveiling Precision: A Novel ML Framework for Accurate Probability Estimates by Abel and Edgar
- Autonomy Talks - Somil Bansal: Safety Assurances for Learning-Enabled Autonomous Systems
- Quantifying Uncertainty in Time Series Forecasting
- WILL MY ROBOT ACHIEVE MY GOALS? PREDICTING THE PROBABILITY THAT AN MDP POLICY REACHES A USER-SPECIFIED BEHAVIOR TARGET
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Papers
- Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination
- Uncertainty Sets for Image Classifiers using Conformal Prediction
- Conformal Prediction Under Covariate Shift
- Regression Conformal Prediction with Nearest Neighbours
- Nested conformal prediction and quantile out-of-bag ensemble methods
- Cross-conformal predictive distributions
- Criteria of Efficiency for Conformal Prediction
- Conformal Prediction for Simulation Models
- Distribution-free, risk-controlling prediction sets
- Conditional calibration for false discovery rate control under dependence
- Regression conformal prediction with random forests
- A conformal prediction approach to explore functional data
- An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction
- Predicting the Rate of Skin Penetration Using an Aggregated Conformal Prediction Framework
- The application of conformal prediction to the drug discovery process
- Distributional conformal prediction
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction
- Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction
- Exchangeability, Conformal Prediction, and Rank Tests
- Conformal prediction with localization
- Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD
- Binary classification of imbalanced datasets using conformal prediction
- Discretized conformal prediction for efficient distribution-free inference - Jean Chun, and Rina Foygel Barber (2017)
- Validity, consonant plausibility measures, and conformal prediction
- Conformal Prediction Classification of a Large Data Set of Environmental Chemicals from ToxCast and Tox21 Estrogen Receptor Assays
- Conformal prediction of biological activity of chemical compounds
- Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determination
- Aggregated Conformal Prediction
- Interpretation of Conformal Prediction Classification Models
- Cross-Conformal Prediction with Ridge Regression
- Sparse conformal prediction for dissimilarity data - Michael Schleif, Xibin Zhu and Barbara Hammer (2015)
- Effective utilization of data in inductive conformal prediction using ensembles of neural networks
- Beyond the Basic Conformal Prediction Framework
- Inductive conformal prediction for silent speech recognition
- Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
- Deep Conformal Prediction for Robust Models
- Strong validity, consonance, and conformal prediction
- Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules
- Conformal prediction based active learning by linear regression optimization
- Conformal prediction intervals for the individual treatment effect
- Nearest neighbor based conformal prediction
- Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project
- Nested Conformal Prediction and the Generalized Jackknife
- Predictive inference with the jackknife+
- Nonparametric predictive distributions based on conformal prediction - ge Xie (Royal Holloway, UK, Rutgers, USA, 2018) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A Distribution-Free Test of Covariate Shift Using Conformal Prediction
- Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction
- Conformal prediction of HDAC inhibitors - Lopez, D. Mucs & J.L. Medina-Franco (2019)
- Computing Full Conformal Prediction Set with Approximate Homotopy
- Conformal Prediction Based on Raman Spectra for the Classification of Chinese Liquors
- Efficient and minimal length parametric conformal prediction regions
- Conformal Prediction for Students' Grades in a Course Recommender System
- Efficient iterative virtual screening with Apache Spark and conformal prediction
- Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction
- Maximizing gain in high-throughput screening using conformal prediction
- Conformalized Survival Analysis - Code](https://github.com/valeman/cfsurv_paper) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Random Forest Prediction Intervals
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind
- Comparing the Bayes and typicalness frameworks
- Large-scale probabilistic predictors with and without guarantees of validity
- Inductive conformal prediction for silent speech recognition
- Conformal Prediction using Conditional Histograms
- Valid prediction intervals for regression problems
- Application of conformal prediction interval estimations to market makersโ net positions
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
- Distribution-Free Federated Learning with Conformal Predictions - Cramer (2022)
- Coreset-based Conformal Prediction for Large-scale Learning - Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2019)
- Fast probabilistic prediction for kernel SVM via enclosing balls - Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2020)
- Conformalized density- and distance-based anomaly detection in time-series data
- Predictive Inference with Weak Supervision
- Conformal Prediction in Clinical Medical Sciences
- Provably Improving Expert Predictions with Conformal Prediction
- Conformal predictive distributions with kernels
- Computationally efficient versions of conformal predictive distributions
- Cover your cough: detection of respiratory events with confidence using a smartwatch
- Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction
- Conformal Prediction for the Design Problem
- Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
- Conformal predictive decision making
- The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
- E-values: Calibration, combination, and applications
- Adaptive Conformal Predictions for Time Series
- - Conformalized-Quantile-Regression)
- Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors
- Probabilistic Prediction in scikit-learn
- Valid model-free spatial prediction
- Conformal Risk Control
- Efficient Conformal Prediction via cascaded inference with expanded admission - cascades)
- Split Localized Conformal Prediction
- Three Applications of Conformal Prediction for Rating Breast Density in Mammography - Crame (2022)
- Recommendation systems with distribution-free reliability guarantees
- Model Agnostic Conformal Hyperparameter Optimization
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning - Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou (Technion, USCLA 2022) [Video presentation](https://www.youtube.com/watch?v=RJ7ShciZq2s); [Code](https://github.com/bat-sheva/conformal-learning)
- Semantic uncertainty intervals for disentangled latent space
- MAPIE: an open-source library for distribution-free uncertainty quantification
- Confident Adaptive Language Modeling
- Probabilistic Conformal Prediction Using Conditional Random Samples - Wang/Probabilistic-Conformal-Prediction)
- A novel Deep Learning approach for one-step Conformal Prediction approximation
- CD-split and HPD-split: Efficient Conformal Regions in High Dimensions
- Flexible distribution-free conditional predictive bands using density estimators
- Split Conformal Prediction for Dependent Data
- Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
- Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning
- Assessing Explanation Quality by Venn Prediction
- Conformal prediction for hypersonic flight vehicle classification - sen University, Guangzhou, China, 2022) [Slides](https://copa-conference.com/presentations/Zepu.pdf)
- Conformal Prediciton beyond exchangeability
- Split conformal prediction for dependant data
- Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
- Conformal prediction of small-molecule drug resistance in cancer cell lines - Hernandez, Sachin Vishwakarma and Pedro Ballester (2022)
- Ellipsoidal conformal inference for Multi-Target Regression - conference.com/presentations/soundouss.pdf)
- Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
- Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images
- Conformal Prediction is Robust to Label Noise - Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
- Batch Multivalid Conformal Prediction
- Selection by Prediction with Conformal p-values
- Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
- Conformalized Fairness via Quantile Regression
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples
- Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains
- Predictive inference with feature conformal prediction
- Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods - Zaid (2022)
- Spatio-Temporal Wildfire Prediction using Multi-Modal Data
- Calibrating AI models for few-shot demodulation via conformal prediction
- Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
- Safe Planning in Dynamic Environments using Conformal Prediction
- Conformal prediction under feedback covariate shift for biomolecular design
- Conformal Predictor for Improving Zero-shot Text Classification Efficiency - Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
- Bayesian Optimization with Conformal Coverage Guarantees - bayesopt) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
- Engineering Uncertainty Representations to Monitor Distribution Shifts
- CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS
- Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction
- Calibrating AI Models for Wireless Communications via Conformal Prediction
- Conformal Loss-Controlling Prediction
- ROBUST AND SCALABLE UNCERTAINTY ESTIMATION WITH CONFORMAL PREDICTION FOR MACHINE-LEARNED INTERATOMIC POTENTIALS
- Clustering of Trajectories using Non-Parametric Conformal DBSCAN Algorithm - ge Xie Rutgers University, 2022)
- Prediction-Powered Inference
- Conformal Prediction for Trustworthy Detection of Railway Signals
- Conformal inference is (almost) free for neural networks trained with early stopping
- PAC Prediction Sets for Large Language Models of Code
- Physics Constrained Motion Prediction with Uncertainty Quantification
- Accelerating difficulty estimation for conformal regression forests
- Conformal prediction for exponential families and generalized linear models
- From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
- Conformal prediction for STL runtime verification
- Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
- Classification with Valid and Adaptive Coverage
- Risk Control for Online Learning Models
- Derandomized novelty detection with FDR control via conformal e-values - novelty-detection)
- Sensititivty analysis of individual treatment effects: A robust conformal inference approach
- Improving Adaptive Conformal Prediction Using Self-Supervised Learning
- Hedging Predictions in Machine Learning
- Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction
- Fortuna: A Library for Uncertainty Quantification in Deep Learning
- Conformal inference is (almost) free for neural networks trained with early stopping
- Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes
- Machine-Learning Applications of Algorithmic Randomness
- On the universal distribution of the coverage in split conformal prediction
- Lightweight, Uncertainty-Aware Conformalized Visual Odometry
- Group conditional validity via multi-group learning
- Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
- Mondrian conformal regressors
- Mondrian Conformal Predictive Distributions
- Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
- Conformalized Semi-Supervised Random Forest For Classification and Abnormality Detection
- Conformal Prediction Regions for Time Series using Linear Complementarity Programming
- Development and Evaluation of Conformal Prediction Methods for QSAR
- Multi-Agent Reachability Calibration with Conformal Prediction
- Conformalized Unconditional Quantile Regression
- Conformal Off-Policy Evaluation in Markov Decision Processes
- Probabilistic prediction with locally weighted jackknife predictive system
- Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision
- Conformal Regression in Calorie Prediction for Team Jumbo-Visma - conference.com/presentations/Kristian.pdf)
- Inductive Confidence Machines for Regression
- Model-Agnostic Nonconformity Functionsfor Conformal Classification
- Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study
- Inductive Conformal Prediciton: A Straightforward Introduction with examples in Python
- Closing the Loop on Runtime Monitors with Fallback-Safe MPC
- Calibrated Explanations: with Uncertainty Information and Counterfactuals
- Optimizing Hyperparameters with Conformal Quantile Regression
- Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens
- Predicting skin sensitizers with confidence โ Using conformal prediction to determine applicability domain of GARD
- Framework based on conformal predictors and power martingales for detection of fixed football matches
- Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
- Conformalized matrix completion - mc)
- Conformal Prediction With Conditional Guarantees - conformal)
- Federated Conformal Predictors for Distributed Uncertainty Quantification
- Conformal Prediction with Large Language Models for Multi-Choice Question Answering
- Conformal Predictive Distribution Trees
- CONFORMAL PREDICTION WITH PARTIALLY LABELED DATA
- Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
- Conformalizing Machine Translation Evaluation
- Class-Conditional Conformal Prediction With Many Classes
- Conformal Prediction Sets for Graph Neural Networks
- Conformal link prediction to control the error rate
- Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
- Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
- Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control - Group/k-rcps) (John Hopkins University, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Test Martingale-Based Change-Point Detection for Geospatial Object Detectors
- Plug-in martingales for testing exchangeability on-line
- Testing Exchangeability On-Line
- Predictive Inference Is Free with the Jackknife+-after-Bootstrap
- Conformal Prediction with Large Language Models for Multi-Choice Question Answering
- CONFORMAL PREDICTIONS ENHANCED EXPERT-GUIDED MESHING WITH GRAPH NEURAL NETWORKS
- Approximating Score-based Explanation Techniques Using Conformal Regression
- Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
- Heteroskedastic conformal regression
- Closing the Loop on Runtime Monitors with Fallback-Safe MPC
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Achieving Risk Control in Online Learning Settings
- A Review of Nonconformity Measures for Conformal Prediction in Regression - conference.com/presentations/COPA-2023%20-%20v2.pptx) by Yuko Kato, David M.J. Tax, Marco Loog (Delft University of Technology, Radboud University, Nijmegen, Netherlands, 2023)
- Approximating Score-based Explanation Techniques Using Conformal Regression - conference.com/presentations/Amr-Alkhatib.pdf) by Amr Alkhatib, Henrik Bostroem, Sofiane Ennadir, Ulf Johansson (KTH, Joenkoeping University, 2023).
- Mondrian Predictive Systems for Censored Data - conference.com/presentations/Bostrom.pdf) by Henrik Bostroem, Henrik Linusson, Anders Vesterberg (KTH, Ekkono Solutions AB, Scania CV AB, Sweden 2023).
- Confidence Calibration for Systems with Cascaded Predictive Modules
- TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
- Distribution-free risk assessment of regression-based machine learning algorithms
- CONFORMAL PREDICTION FOR DEEP CLASSIFIER VIA LABEL RANKING - stat-Sustech/conformal_prediction_via_label_ranking)
- Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
- Conformal prediction with missing values
- TRIAGE: Characterizing and auditing training data for improved regression
- Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
- CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift - Champaign, 2023)
- PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
- Conformal Prediction Sets for Ordinal Classification
- On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
- A powerful rank-based correction to multiple testing under positive dependency - Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick (Bosch AI, 2023)
- Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
- Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection
- Uncertainty quantification in automated valuation models with locally weighted conformal prediction
- Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates
- Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
- Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms - AI/kandinsky-calibration) by Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen (The Netherlands Cancer Institute, University of Amsterdam) (2023)
- Forecasting CPI inflation under economic policy and geo-political uncertainties
- Conformal prediction of option prices
- Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
- Greek Proverbs: Computational Spatial Attribution
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Inductive conformal prediction for silent speech recognition
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive Confidence Machines for Regression
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting Random Walks and a Data-Splitting Prediction Region
- A Distribution-Free Test of Covariate Shift Using Conformal Prediction
- Computing Full Conformal Prediction Set with Approximate Homotopy
- Inductive conformal prediction for silent speech recognition
- Valid model-free spatial prediction
- Inductive conformal prediction for silent speech recognition
- code
- Code
- Semantic uncertainty intervals for disentangled latent spaces
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictive Distribution Trees
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- code
- Conformal prediction intervals for the individual treatment effect
- Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods - Zaid (2022)
- Accelerating difficulty estimation for conformal regression forests
- Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control - Group/k-rcps) (John Hopkins University, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Approximating Full Conformal Prediction at Scale via Influence Functions - mlg/acp) [video](https://www.youtube.com/watch?v=LRwm976poDE) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Approximating Score-based Explanation Techniques Using Conformal Regression
- Heteroskedastic conformal regression
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Distribution-free risk assessment of regression-based machine learning algorithms
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Prediction for Natural Language Processing: A Survey
- Mitigating LLM Hallucinations via Conformal Abstention - Hung Weng, Yao-Yuan Yang, Csaba Szepesvรกri, Ali Taylan Cemgil, Nenad Tomasev (2024)
- CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence
- Conformalized Ordinal Classification with Marginal and Conditional Coverage
- An Information Theoretic Perspective on Conformal Prediction
- Conformal Prediction with Learned Features
- Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
- A Conformal Prediction Score that is Robust to Label Noise - Ilan University, Israel, 2024)
- Building consumption anomaly detection: A comparative study of two probabilistic approaches
- Improve robustness of machine learning via efficient optimization and conformal prediction
- Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration - ang Qi, Yakun Yu, Russell Greiner (University of Alberta, 2024)
- Conformal Online Auction Design
- Conformal prediction with localization
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Inductive conformal prediction for silent speech recognition
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Inductive conformal prediction for silent speech recognition
- Conformal Predictive Distribution Trees
- Accelerating difficulty estimation for conformal regression forests
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- CONFLARE: CONFormal LArge language model REtrieval
- Conformalized Online Learning: Online Calibration Without a Holdout Set
- Conformal Loss-Controlling Prediction
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictive Distribution Trees
- Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees - Saclay University, ENSIIE, Institut de Math ฬematiques de Toulouse, TAU, INRIA, 2024) [code](https://github.com/vincentblot28/conformalized_gp) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Conformal Prediction: a Unified Review of Theory and New Challenges
- Conformal Prediction with Temporal Quantile Adjustments
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictions for longitudinal data - NatWest Group, Institute of Finance and Technology, UCL, UK, 2023) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Prediction via Regression-as-Classification
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- ACHO: Adaptive Conformal Hyperparameter Optimization
- Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In-Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Prediction Bands for Two-Dimensional Functional Time Series
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Development and Evaluation of Conformal Prediction Methods for QSAR
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Adaptive Conformal Prediction by Reweighting Nonconformity Scores - B. Brunel and Nicolas J-B. Brunel (University Paris Saclay, Stellantis Paris, Quantmetry Paris, 2023) [code](https://github.com/salimamoukou/ACPI) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Integrating Uncertainty Awareness into Conformalized Quantile Regression
- Conformal Prediction Sets Improve Human Decision Making
- Inductive conformal prediction for silent speech recognition
- Adaptive Conformal Predictions for Time Series
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Adaptive Conformal Prediction by Reweighting Nonconformity Scores - B. Brunel and Nicolas J-B. Brunel (University Paris Saclay, Stellantis Paris, Quantmetry Paris, 2023) [code](https://github.com/salimamoukou/ACPI) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Language Modeling
- Beyond the Basic Conformal Prediction Framework
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Benchmarking LLMs via Uncertainty Quantification
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Predictive Programming for Chance Constrained Optimization
- Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty
- Regression Trees for Fast and Adaptive Prediction Intervals
- Self-Consistent Conformal Prediction
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects - learner)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Accelerating difficulty estimation for conformal regression forests
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction
- Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data - series-OOD) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Non-Exchangeable Conformal Language Generation with Nearest Neighbors - exchangeable-conformal-language-generation) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Group-Weighted Conformal Prediction
- Conformal prediction to define applicability domain โ A case study on predicting ER and AR binding
- Multi-class probabilistic classification using inductive and cross VennโAbers predictors
- Conformal Prediction Sets with Limited False Positives - fp) (MIT / Google Research, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibration of Natural Language Understanding Models with VennโABERS Predictors
- Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning - CP) QuantumML ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Design-based conformal prediction - paper-code) ๐๐๐๐๐
- - x) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners - help.github.io) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Approximating Full Conformal Prediction at Scale via Influence Functions - mlg/acp) [video](https://www.youtube.com/watch?v=LRwm976poDE) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Meta-learners for Predictive Inference of Individual Treatment Effects - metalearners) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Fast nonlinear vector quantile regression - technion/vqr) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Testing for Outliers with Conformal p-values - conformal-pvalues) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction - Brabants, Tom Dhaene, Dirk Deschrijver (Ghent University, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Online NoVaS Conformal Volatility Prediction - conference.com/presentations/3%20-%20COPA-2023.NoVas.v005.pptx) by Alejandro Canete (University of Chicago) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ (2023)
- Market Implied Conformal Volatility Intervals - conference.com/presentations/COPA-2023.ImpliedIntervals.v005.pptx) by Alejandro Canete (University of Chicago) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ (2023)
- PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization - conference.com/presentations/COPA_2023_mouhcine_mendil_puncc.pdf) [code](https://github.com/deel-ai/puncc) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- The Venn-ABERS Testing for Change-Point Detection - conference.com/presentations/Nouretdinov_poster_slides.pdf) by Ilia Nouretdinov and Alex Gammerman (Royal Holloway, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- On the Expected Size of Conformal Prediction Sets - Dhillon/expected-conformal-prediction-set-size)๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Reliable anti-cancer drug sensitivity prediction and prioritization - Marie Rolli, Andrea Volkamer & Hans-Peter Lenhof (Saarland University, 2024)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Conformal Thresholded Intervals for Efficient Regression
- CONFORMALIZED INTERVAL ARITHMETIC WITH SYMMETRIC CALIBRATION - lorry/CIA) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Split Conformal Prediction and Non-Exchangeable Data - rv/split-conformal-nonexchangeable)
- PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
- Conformal Predictions under Markovian Data
- Entropy Reweighted Conformal Classification
- SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning - Chowdhury, Jiachen Li (University of California, Riverside) [project](https://sonic-social-nav.github.io)
- Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
- Robust Conformal Volume Estimation in 3D Medical Images
- A CONFORMALIZED LEARNING OF A PREDICTION SET WITH APPLICATIONS TO MEDICAL IMAGING CLASSIFICATION - Ilan University, Ramat-Gan, Israel, 2024)
- Quantifying uncertainty in climate projections with conformal ensembles
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformal Predictive Distribution Trees
- Reliable anti-cancer drug sensitivity prediction and prioritization - Marie Rolli, Andrea Volkamer & Hans-Peter Lenhof (Saarland University, 2024)
- Robust Conformal Prediction Using Privileged Information
- Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
- Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift
- Conditional Shift-Robust Conformal Prediction for Graph Neural Network - Manipal Institute of Technology, 2024)
- Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
- Conformal Load Prediction with Transductive Graph Autoencoders - lorry/conformal-load-forecasting)
- Conformal Recursive Feature Elimination - De-Castro, Alberto Garcฤฑa-Galindo, Ruben Armananzas (Universidad de Navarra, 2024)
- Online Calibrated and Conformal Prediction Improves Bayesian Optimization
- An Information Theoretic Perspective on Conformal Prediction
- Conformal Prediction for Causal Effects of Continuous Treatments
- Uncertainty-Aware Decarbonization for Datacenters
- Conditionally valid Probabilistic Conformal Prediction
- Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I.
- Trustworthy Classification through Rank-Based Conformal Prediction Sets
- Distributionally robust risk evaluation with an isotonic constraint - DRL)
- Split Conformal Prediction under Data Contamination - clarkson/cp_under_data_contamination)
- Meta-Analysis with Untrusted Data
- Robust Yet Efficient Conformal Prediction Sets
- Learning Cellular Network Connection Quality with Conformal
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model
- Conformal link prediction for false discovery rate control
- Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction
- Predictive Inference in Multi-environment Scenarios
- Conformal online model aggregation
- Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
- Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
- Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets
- Inductive conformal prediction for silent speech recognition
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- FDR control and FDP bounds for conformal link prediction - Carlhian, Romain Pรฉrier (University of Paris-Saclay, The Allan Turing Institute).
- Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters
- On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets - Essen, 2020)
- Predicting with confidence: Using conformal prediction in drug discovery - X/fulltext) by Jonathan Alvarsson, Staffan Arvidsson McShane, Ulf Norinder, Ola Spjuth (2021) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Concepts and Applications of Conformal Prediction in Computational Drug Discovery - Ciriano and Andreas Bender (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Inductive conformal prediction for silent speech recognition
- Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets - conformal) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Off-Policy Prediction in Contextual Bandits - Franรงois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) [Video presentation](https://youtu.be/K5RAjP1Ze30)
- Audioโvisual domain adaptation using conditional semi-supervised Generative Adversarial Networks
- Training Uncertainty-Aware Classifiers with Conformalized Deep Learning - Sheva Einbinder, Yaniv Romano, Matteo Sesia and Yanfei Zhou (Technion/UCLA, NeurIPS 2022 paper) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Fairness via Quantile Regression - Ding07/Conformal_Quantile_Fairness) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Predicting Endocrine Disruption Using Conformal Prediction โ Aย Prioritization Strategy to Identify Hazardous Chemicals with Confidence
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Confidence-based Prediction of Antibiotic Resistance at the Patient-level Using Transformers - Diaz, A. Johnning, M. Hessel, A. Sjo ฬberg, A. Lokrantz, L. Hellda, M. Jirstrand, L. Svensson and E. Kristiansson (Chalmers University of Technology and University of Gothenburg/Centre for Antibiotic Resistance Research (CARe), 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks - stanford/conformalized-gnn) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Predictive Distribution Trees
- Robust Uncertainty Quantification using Conformalised Monte Carlo Prediction - daniel/MC-CP) by Daniel Bethell, Simos Gerasimou, Radu Calinescu (University of York, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- I do not know! but why?โโ Local Model-Agnostic Example-based explanations of reject
- Improving Deep Learning-Based Defect Classification in Solar Cells using Conformal Prediction - Technical University of Denmark, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Copula-based conformal prediction for Multi-Target Regression - Soundouss/CopulaConformalMTR) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive conformal classification with noisy labels - label-noise) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help - llm.github.io) by Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros (Washington University in St.Louis and University of Zurich, 2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Evaluating Machine Translation Quality with Conformal Predictive Distributions - conference.com/presentations/MTpres.pdf) by Patrizio Giovannotti (Royal Holloway, UK) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification - Pierre Da Costa by EXXACT Robotics (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Beyond Confidence: Reliable Models Should Also Consider Atypicality - confidence-atypicality) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access - Champaign Institute, University of Illinois Chicago, 2024) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts - Hernandez, Qianrong Guo, Pedro Ballester (Imperial College, 2024) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Inductive conformal prediction for silent speech recognition
- Distribution-Free Federated Learning with Conformal Predictions - Cramer (2022)
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data - Time-Series-Model) ๐ฅ๐ฅ๐ฅ๐ฅ
- Pricing Catastrophe Bonds --- a Probabilistic Machine Learning Approach
- Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction - Anaraki; Mohammad Amin Hariri-Ardebili (Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (Florida Polytechnic University, University of Colorado Denver, University of Maryland, 2024)
- Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
- Enhancing the reliability of probabilistic PV power forecasts using conformal prediction
- Random Projection Ensemble Conformal Prediction for High-Dimensional Classification
- Conformal Predictive Systems Under Covariate Shift - idlab/crepes-weighted) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Metric-guided Image Reconstruction Bounds via Conformal Prediction
- Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms
- Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction
- Conformal Prediction of Motion Control Performance for an Automated Vehicle in Presence of Actuator Degradations and Failures
- Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
- From Data Imputation to Data Cleaning โ Automated Cleaning of Tabular Data Improves Downstream Predictive Performance - jaeger/conformal-data-cleaning) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Online Calibrated and Conformal Prediction Improves Bayesian Optimization
- Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling - prediction-utility) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Regression with Split-Jackknife+ Scores
- Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for ProteinโLigand Predictions
- Inductive conformal prediction for silent speech recognition
- - Conformalized-Quantile-Regression)
- Probabilistic Conformal Prediction Using Conditional Random Samples - Wang/Probabilistic-Conformal-Prediction)
- CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS
- Accelerating difficulty estimation for conformal regression forests
- Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning - CP) QuantumML ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Fast nonlinear vector quantile regression - technion/vqr) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TRIAGE: Characterizing and auditing training data for improved regression
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Uncertainty Sets for Image Classifiers using Conformal Prediction
- Inductive conformal prediction for silent speech recognition
- Inductive conformal prediction for silent speech recognition
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Clinical AI tools must convey predictive uncertainty for each individual patient
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Accelerating difficulty estimation for conformal regression forests
- Probabilistic prediction with locally weighted jackknife predictive system
- Inductive Confidence Machines for Regression
- Conformal Predictive Distribution Trees
- Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method - bioinf/Conformal-Drug-Sensitivity-Prediction) by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation)
- Inductive conformal prediction for silent speech recognition
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting
- Regression Conformal Prediction with Nearest Neighbours
- Nested conformal prediction and quantile out-of-bag ensemble methods
- Criteria of Efficiency for Conformal Prediction
- A conformal prediction approach to explore functional data
- Distributional conformal prediction
- Exchangeability, Conformal Prediction, and Rank Tests
- Discretized conformal prediction for efficient distribution-free inference - Jean Chun, and Rina Foygel Barber (2017)
- Concepts and Applications of Conformal Prediction in Computational Drug Discovery - Ciriano and Andreas Bender (2019) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Nested Conformal Prediction and the Generalized Jackknife
- Conformalized Survival Analysis - Code](https://github.com/valeman/cfsurv_paper) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Training: Learning Optimal Conformal Classifiers | DeepMind
- Inductive conformal prediction for silent speech recognition
- Predictive Inference with Weak Supervision
- Conformal Prediction for the Design Problem
- Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
- Conformalized Fairness via Quantile Regression
- E-values: Calibration, combination, and applications
- Conformal Prediction Sets with Limited False Positives - fp) (MIT / Google Research, 2022) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Efficient Conformal Prediction via cascaded inference with expanded admission - cascades)
- Three Applications of Conformal Prediction for Rating Breast Density in Mammography - Crame (2022)
- Recommendation systems with distribution-free reliability guarantees
- Model Agnostic Conformal Hyperparameter Optimization
- Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets - conformal) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Off-Policy Prediction in Contextual Bandits - Franรงois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) [Video presentation](https://youtu.be/K5RAjP1Ze30)
- MAPIE: an open-source library for distribution-free uncertainty quantification
- Confident Adaptive Language Modeling
- A novel Deep Learning approach for one-step Conformal Prediction approximation
- Conformal Risk Control
- Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
- Split conformal prediction for dependant data
- Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
- Conformal Prediction is Robust to Label Noise - Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
- Selection by Prediction with Conformal p-values
- Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
- Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples
- Predictive inference with feature conformal prediction
- Spatio-Temporal Wildfire Prediction using Multi-Modal Data
- Calibrating AI models for few-shot demodulation via conformal prediction
- Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
- Safe Planning in Dynamic Environments using Conformal Prediction
- Conformal Predictor for Improving Zero-shot Text Classification Efficiency - Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
- Bayesian Optimization with Conformal Coverage Guarantees - bayesopt) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Calibrating AI Models for Wireless Communications via Conformal Prediction
- Prediction-Powered Inference
- Conformal Prediction for Trustworthy Detection of Railway Signals
- Conformal inference is (almost) free for neural networks trained with early stopping
- Accelerating difficulty estimation for conformal regression forests
- Conformal prediction for exponential families and generalized linear models
- Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction
- From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
- Conformal prediction for STL runtime verification
- Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
-
Papers Time Series
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
- Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data
- Distributional Conformal Prediction
- Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market - European Commission) Simone Vantini (Politecnico di Milano) (2021)
- Amazon Fortuna
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets
- Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
- Robust Gas Demand Forecasting With Conformal Prediction
- Improved Online Conformal Prediction via Strongly Adaptive Online Learning
- Conformal prediction interval for dynamic time-series - cxu/EnbPI) [Video](https://vimeo.com/583595474) [Video ICML2021](https://papertalk.org/papertalks/32044)
- Conformalized Online Learning: Online Calibration Without a Holdout Set
- Conformal Time-Series Forecasting
- Conformal prediction set for time-series - cxu/Ensemble-Regularized-Adaptive-Prediction-Set-ERAPS) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction for Time Series with Modern Hopfield Networks - jku/HopCPT](https://github.com/ml-jku/HopCPT)) [blogpost](https://ml-jku.github.io/HopCPT/) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Sequential Predictive Conformal Inference for Time Series - cxu/SPCI-code/tree/main) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting
- Kernel-based optimally weighted conformal prediction intervals
- Conformal prediction for multi-dimensional time series by ellipsoidal sets
- Transformer Conformal Prediction for Time Series
- Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference - Guillenc, Jesus Juane (Fortia Energฤฑa, Universidad Politecnica de Madrid, Instituto de Ciencias Matematicas, Madrid) [code](https://github.com/CCaribe9/HQR-WACI) (2024) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal time series decomposition with component-wise exchangeability - TSD)
- JANET: Joint Adaptive predictioN-region Estimation for Time-series - Toi, Matteo Fontana, Stephan Mandt, Padhraic Smyth, Christoph Lippert (2024) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Adaptive Conformal Predictions for Time Series
- Copula Conformal Prediction for Multi-step Time Series Forecasting - STL-Lab/CopulaCPTS) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series - conformal-inference)
- Conformal prediction for multi-dimensional time series by ellipsoidal sets - cxu/MultiDimSPCI) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized predictive simulations for univariate time series
- Conformal Prediction Bands for Two-Dimensional Functional Time Series
- Conformal Prediction with Temporal Quantile Adjustments
- Conformal PID Control for Time Series Prediction - time-series) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- CODiT: Conformal Out-of-Distribution Detection in Time- Series Data - series-OOD) TIME SERIES ๐๐๐๐๐ ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
-
Presentation Slides
- Machine Learning for Probabilistic Prediction, Seattle Artificial Intelligence Workshops Meetup
- Adaptive Conformal Anomaly Detection for Time-series
- Nonparametric predictive distributions based on conformal prediction - ge Xie, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, University of London Rutgers University, 2017)
- What Can Conformal Inference Offer to Statistics?
- Applications of Conformal Predictors
- crepes: a Python Package for Conformal Regressors and Predictive Systems
- Assessing Explanation Quality by Venn Prediction
- Well-Calibrated Rule Extractors
- Reinforcement Learning Prediction Intervals with Guaranteed Fidelity
- Conformal Prediction beyond exchangeability
- Split conformal prediction for dependant data
- Conformal prediction of small-molecule drug resistance in cancer cell lines - Hernandez, Sachin Vishwakarma and Pedro Ballester
- Sequential Predictive Conformal Inference for Time Series
- Copula Conformal Prediction for Multi-step Time Series Forecasting
- Conformal Prediction: an Introduction
- Machine Learning for Probabilistic Prediction
- Graceful handling of large imbalanced datasets using Conformal Prediction
- Leveraging Conformal Prediction for Calibrated Probabilistic Time Series Forecasts to Accelerate the Renewable Energy Transition
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Split conformal prediction for dependant data
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Inference with Tidymodels
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Uncertainty estimation in NLP
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Regressors and Predictive Systems โ a Gentle Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformalized Quantile Regression
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
- Conformal Prediction: an Introduction
-
Researchers
- Alexander Gammerman
- Glenn Shafer
- Emmanuel Candรจs
- Ryan Tibshiriani
- Yaniv Romano
- Michael I. Jordan
- Jitendra Malik
- Anastasios Angelopoulos
- Lihua Lei
- Henrik Bostrรถm
- Ulf Johansson
- Henrik Linusson
- Harris Papadopoulos
- Vladimir V'yugin
- Evgeny Burnaev
- Aaditya Ramdas
- Benjamin LeRoy
- Victor Chernozhukov
- Ulf Norinder
- Ola Spjuth
- Ilia Nouretdinov
- Matteo Fontana
- Yao Xie
- Zhimeo Ren
- Rafael Izbicki
- Rina Foygel Barber
- Matteo Sesia
- Simone Vantini - Department of Mathematics, Politecnico di Milano
- Glenn Shafer
-
Articles
- Measuring Models' Uncertainty: Conformal Prediction
- Conformal Prediction for Neural Regression Model
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- nonconformist: An easy way to estimate prediction intervals
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to calibrate your classifier in an intelligent way
- Conformal Prediction forecasting with MAPIE
- How to predict full probability distribution using machine learning Conformal Predictive Distributions
- Conformal Prediction in Julia, Part I - Introduction
- Getting predictions intervals with conformal inference
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Probabilistic Forecasting with Conformal Prediction and NeuralProphet
- TQA: Creating Valid Prediction Intervals for Cross-sectional Time Series Regression
- Conformal Prediction: A Critic to Predictive Models
- Multi-horizon Probabilistic Forecasting with Conformal Prediction and NeuralProphet
- Putting clear bounds on uncertainty
- Conformal prediction theory explained
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Conformal Prediction for Regression
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Jackknife+ โ a Swiss knife of Conformal Prediction for regression
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to use Conformal Prediction
- Model Diagnostics: Prediction Uncertainty
- Make any predictor uncertainty-aware via conformal prediction
- Conformal predictive systems - A hands-on codeless example with KNIME
- Conformal prediction for classification - A hands-on codeless example with KNIME
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Series of Medium articles about Conformal Prediciton (in Portuguese)
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Uncertainty Quantification and Why You Should Care
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Uncertainty Quantification and Why You Should Care
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformalized quantile regression
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Conformal Prediction in Julia, Part I - Introduction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Leveraging conformal prediction in Python to accelerate the renewable energy transition
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Uncertainty Quantification and Why You Should Care
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Easy Distribution-Free Conformal Intervals for Time Series
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Easy Distribution-Free Conformal Intervals for Time Series
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Fifty (four, actually) shades of conformal prediction
- Use case adapted prediction intervals by means of conformal predictions and a custom non conformity score
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Detect Anomalies โ state-of-the-art methods using Conformal Prediction
- How to predict quantiles in a more intelligent way (or โBye-bye quantile regression, hello Conformal Quantile Regression
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Easy Distribution-Free Conformal Intervals for Time Series
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Prediction Intervals using Conformalized Quantile Regression
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Conformalized Quantile Regression for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Stanford statisticians and Washington Post data scientists build more honest prediction models - live-model) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Uncertainty Quantification and Why You Should Care
- Clinical AI tools must convey predictive uncertainty for each individual patient
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Uncertainty Quantification and Why You Should Care
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Uncertainty Quantification and Why You Should Care
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- How to Handle Uncertainty in Forecasts
- How to Add Uncertainty Estimation to your Models with Conformal Prediction
- Detecting Weird Data: Conformal Anomaly Detection
- โMAPIEโ Explained Exactly How You Wished Someone Explained to You
- With MAPIE, uncertainties are back in machine learning
- How to Predict Risk-Proportional Intervals with Conformal Quantile Regression
- Conformal Prediction in Julia, Part I - Introduction
- Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier
- Time Series Forecasting with Conformal Prediction Intervals: Scikit-Learn is All you Need
- Conformal Prediction in Julia, Part III - Prediction intervals for any regression model
- Easy Distribution-Free Conformal Intervals for Time Series
- Another (Conformal) Way to Predict Probability Distributions
- Dynamic Conformal Intervals for any Time Series Model
- Hitting Time Forecasting: The Other Way for Time Series Probabilistic Forecasting
- Clinical AI tools must convey predictive uncertainty for each individual patient
- Uncertainty Quantification and Why You Should Care
-
Kaggle
- Kaggle Notebook showcasing Venn-ABERs Conformal Prediction on Playground Series Season 3, Episode 2 (Stroke prediction) competition
- Kaggle Notebook showcasing Conformal Predictive Distributions on Playground Series Season 3, Episode 1 (California Housing data) competition
- Regression prediction intervals with MAPIE
- Lgbm & Mapie & birth weight, oh my!
- Classifier calibration using Venn-ABERS
-
Websites
-
Twitter
- Title: What Can *Conformal Inference* Offer to Statistics?
- Conformalized survival analysis
- Conformal Risk Control
- Stable Conformal Prediction Sets
- Machine learning sucks at uncertainty quantification. But there is a solution that almost sounds too good to be true: conformal prediction
- How to correctly, yet efficiently model the uncertainty on predictions
- Top 10 Github libraries for Conformal Prediction
- Robots That Ask For Help
-
TikTok
-
Conferences & Workshops
- 11th Symposium on Conformal and Probabilistic Prediction with Applications
- IFDS Workshop on Conformal Prediction
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2022
- Workshop on Distribution-Free Uncertainty Quantification at ICML 2021
- 10th Symposium on Conformal and Probabilistic Prediction with Applications
- 9th Symposium on Conformal and Probabilistic Prediction with Applications
- 8th Symposium on Conformal and Probabilistic Prediction with Applications
- 7th Symposium on Conformal and Probabilistic Prediction with Applications
- 6th Symposium on Conformal and Probabilistic Prediction with Applications
- 11th Symposium on Conformal and Probabilistic Prediction with Applications
-
Python
- Conformalized density- and distance-based anomaly detection in time-series data (KNN-CAD)
- Valid Prediction Intervals
- Conformal learning from scratch
- Conformalized Online Learning: Online Calibration Without a Holdout Set
- Conformal Prediction in KNIME
- SKTime
- NeuralProphet
- River
- TorchUQ
- Nixtla mlforecast
- Nixtla statsforecast
- Conformal Tights - A scikit-learn meta-estimator that adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor
- 'Crรชpes' - Conformal regressors and predictive systems - conference.com/papers/COPA2022_paper_11.pdf) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ [Presentation](https://copa-conference.com/presentations/COPA_2022_Presentation__crepes.pdf) by Henrik Bostroem (KTH, Sweden, 2022)
- Python implementation of binary and multi-class Venn-ABERS calibration
- TorchCP - A library for conformal prediction
- Puncc (Predictive uncertainty calibration and conformalization) - conference.com/presentations/COPA_2023_mouhcine_mendil_puncc.pdf) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Impact
- MAPIE - Model Agnostic Prediction Interval Estimator
- Nonconformist
- Venn-ABERS Predictor - Abstract.html) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformalized Quantile Regression
- calibrated-explanations - Calibrated Explanations for Machine Learning Models using Venn-Abers and Conformal Predictive Systems
- Conformers - Unofficial Conformal Language Modelling library
- Conformal Prediction for Digital Soil Mapping
- conformal-prediction-jan2024 - PyLadies Amsterdam
- MFLES - Gradient Boosted Decomposition for time series forecasting
- confopt - A Library for Conformal Hyperparameter Tuning
- Orange3 Conformal Prediction - class-probabilistic-classification using Venn-ABERS (Conformal) prediction](https://github.com/valeman/Multi-class-probabilistic-classification) by Valery Manokhin (Royal Holloway, 2022)
- Copula Conformal Multi Target Regression
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
- Conformal time-series forecasting
- EnbPI
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
- PySloth - Python package for Probabilistic Prediction
- https://github.com/mikekeith52/scalecast
- plot_utils - Plotting library for conformal prediction metrics, intended to facilitate fast testing in e.g. notebooks
- crepes-weighted Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts
-
R
- Conformal Prediction ih tidymodels
- Modeltime
- Conformal prediction for 80+ classes of `R` models with the `marginaleffects` package - Bundock (2023) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems
- conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response
- cfsurvival - An R package that implements the conformalized survival analysis methodology
- ClusTorus: An R Package for Prediction and Clustering on the Torus by Conformal Prediction
- AdaptiveConformal - 04316544/) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
- Conformal Inference R Project
- Prediction Bands
- Conformal: an R package to calculate prediction errors in the conformal prediction framework
- Online Time Series Anomaly Detectors
- piRF - Prediction Intervals for Random Forests
- R Package for Spatial Conformal Prediction
- conformal glm - conformal prediction for generalized linear regression models
- caretForecast - Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
- Localized Conformal Prediction - LCP
- conformalbayes - Jackknife(+) Predictive Intervals for Bayesian Models
- conformal.fd Conformal inference prediction regions for Multiple Functional response regression
-
AI platforms
- Data Robot
- Microsoft Azure
- Data Robot - Prediction Intervals via Conformal Inference
- AWS Fortuna
- Conformal Prediction in Knime - conference.com/presentations/tuwe_presentation.pdf) ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
-
Julia
- ConformalPrediction.jl - Conformal Prediction in Julia, Part I - Introduction](https://towardsdatascience.com/conformal-prediction-in-julia-351b81309e30) [Article - Conformal Prediction in Julia, Part II - How to conformalize a deep image classifier](https://towardsdatascience.com/how-to-conformalize-a-deep-image-classifier-14ead4e1a5a0) [Article - Conformal Prediction in Julia, Part III - Prediction intervals for any regression model](https://towardsdatascience.com/prediction-intervals-for-any-regression-model-306930d5ad9a)
- RandomForest
-
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Keywords
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forecasting
4
prediction-intervals
4
regression
3
scikit-learn
3
deep-learning
3
time-series
3
r
2
time-series-forecasting
2
confidence-intervals
2
conformal-regressors
2
uncertainty-estimation
2
recurrent-neural-networks
2
random-forest
2
sklearn
2
time-series-prediction
2
conformal-methods
1
fairness
1
pytorch
1
random-forest-regression
1
alignment
1
language-model
1
transformers
1
remote-sensing
1
soil-science
1
algorithmic-fairness
1
classification
1
conformal-inference
1
prediction-sets
1
jupyter-notebook
1
cumulative-distribution-function
1
conformal-predictive-systems
1
conformal-classifiers
1
tolerance-intervals
1
keras
1
lstm
1
mase
1
msis
1
pandas
1
scikit-learn-python
1
smape
1
vecm
1
caret
1
econometrics
1