Projects in Awesome Lists tagged with robust-optimization
A curated list of projects in awesome lists tagged with robust-optimization .
https://github.com/baggepinnen/montecarlomeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
error-analysis error-propagation gpu-acceleration gpu-computing monte-carlo monte-carlo-sampling monte-carlo-simulation numeric-types particle-filter physical-quantities probability-distributions robust-optimization uncertainties uncertainty-propagation uncertainty-sampling
Last synced: 25 Jan 2026
https://github.com/baggepinnen/MonteCarloMeasurements.jl
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
error-analysis error-propagation gpu-acceleration gpu-computing monte-carlo monte-carlo-sampling monte-carlo-simulation numeric-types particle-filter physical-quantities probability-distributions robust-optimization uncertainties uncertainty-propagation uncertainty-sampling
Last synced: 27 Mar 2025
https://github.com/psorlab/eago.jl
A development environment for robust and global optimization
global-optimization implicit-functions julia mccormick-relaxation optimization optimization-methods optimization-tools optimizer robust-optimization
Last synced: 13 Apr 2025
https://github.com/PSORLab/EAGO.jl
A development environment for robust and global optimization
global-optimization implicit-functions julia mccormick-relaxation optimization optimization-methods optimization-tools optimizer robust-optimization
Last synced: 04 May 2025
https://github.com/lishenghui/blades
⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
byzantine-fault-tolerance distributed-systems fedavg federated federated-learning federated-learning-framework federated-learning-simulator model-poisoning-attack robust-federated-learning robust-machine-learning robust-optimization
Last synced: 10 Apr 2025
https://github.com/cog-imperial/romodel
Modeling robust optimization problems in Pyomo
Last synced: 07 Apr 2026
https://github.com/kabeech/tensort
Tunable sorting for responsive robustness and beyond
responsive robust robust-optimization robustness sort sorting sorting-algorithm tensor
Last synced: 16 Apr 2025
https://github.com/sforaidl/decepticonlp
Python Library for Robustness Monitoring and Adversarial Debugging of NLP models
adversarial-attacks deep-learning natural-language-processing python robust-optimization text-processing
Last synced: 20 Jun 2025
https://github.com/microprediction/embarrassingly
robust optimization
optimization optimization-algorithms robust-optimization robust-statistics
Last synced: 23 Jan 2026
https://github.com/OPTML-Group/AdvUnlearn
Official implementation of "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models"
adversarial-machine-learning robust-optimization stable-diffusion unlearned-diffusion-model unlearning
Last synced: 27 Mar 2025
https://github.com/enexqnt/py-vallocation
Flexible Python library for asset allocation and investor view integration
asset-allocation bayesian-inference black-litterman cvar-optimization entropy-pooling mean-variance-optimization portfolio-optimization quantitative-finance robust-optimization shrinkage-estimators
Last synced: 02 Apr 2026
https://github.com/jorenham/lmo
Trimmed L-moments and L-comoments for robust statistics.
fitting-distribution l-comoments l-moments lmo multivariate-statistics numpy probability-statistics python robust-optimization robust-statistics statistics tl-moments
Last synced: 16 Mar 2025
https://github.com/deepmancer/rss-training-iclr2024
This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.
adversarial-learning conference-paper distribution-shift distributionally-robust-optimization generalization-error iclr iclr2024 out-of-distribution out-of-distribution-generalization out-of-domain robust-optimization robustness self-supervised-learning semi-supervised-learning unsupervised-learning
Last synced: 11 Jan 2026
https://github.com/anishacharya/bgmd-aistats-2022
Geometric median (GM) is a classical method in statistics for achieving a robust estimation of the uncorrupted data; under gross corruption, it achieves the optimal breakdown point of 0.5. However, its computational complexity makes it infeasible for robustifying stochastic gradient descent (SGD) for high-dimensional optimization problems. In this paper, we show that by applying Gm to only a judiciously chosen block of coordinates at a time and using a memory mechanism, one can retain the breakdown point of 0.5 for smooth non-convex problems, with non-asymptotic convergence rates comparable to the SGD with GM.
geometric-median gradient-compression median optimization-algorithms robust-optimization sgd
Last synced: 04 Mar 2026
https://github.com/hanb16/mkltwostagero.jl
A Julia package for multiple kernel learning aided two-stage robust optimization.
julia machine-learning optimization robust-optimization two-stage
Last synced: 15 Feb 2026
https://github.com/americocunhajr/eleven
ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
computational-mechanics computational-physics mechanics nonlinear-systems numerical-optimization robust-optimization structural-engineering uncertainty-quantification
Last synced: 11 Nov 2025
https://github.com/anishacharya/optimization-mavericks
This repository provides a unified framework to perform Optimization experiments across Stochastic, Mini-Batch, Decentralized and Federated Setting.
federated-learning optimization-algorithms robust-optimization robust-statistics sgd
Last synced: 04 Mar 2026
https://github.com/xinxiong0238/gart
Guided Adversarial Robust Transfer Learning with Source Mixing
generalization robust-optimization source-mixing transfer-learning
Last synced: 26 Oct 2025
https://github.com/randika00/express-application-main
Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
backend nodejs robust-optimization
Last synced: 13 Mar 2025
https://github.com/philippxxy/diet-optimizer-under-uncertainty
This repository contains GAMS solutions for modeling and solving a robust optimization problem. Tasks include formulating a dietary plan, addressing uncertainties, and comparing solutions under different uncertainty models.
gams karlsruhe-institute-of-technology linear-programming operations-research optimization robust-optimization uncertainty-modeling
Last synced: 11 Jan 2026
https://github.com/i-a-morozov/rcds
Robust Conjugate Direction Search (noisy objective optimization)
baysian gaussian-processes minimization optimization pytorch robust-optimization scipy
Last synced: 06 Oct 2025
https://github.com/sreejeetm1729/robust-federated-q-learning-with-almost-no-communication
𝚁𝚘𝚋𝚞𝚜𝚝 𝙵𝚎𝚍-𝚀 : A federated Q-learning algorithm that stays reliable even when a small fraction of agents are adversarial. It blends model-based/model-free updates with median-of-means to ensure (i) high-probability exact convergence in the infinite-sample limit and (ii) near-optimal finite-time rates with collaborative sample-complexity.
adversarial-machine-learning federated-learning multiagent-reinforcement-learning qlearning-algorithm reinforcement-learning robust-optimization
Last synced: 09 Oct 2025
