optimization
Awesome papers on Optimization
https://github.com/mlpapers/optimization
Last synced: 3 days ago
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- Derivative tests
- Wiki
- Wiki
- Wiki
- Docs - ai/sherpa), [Paper](https://arxiv.org/pdf/2005.04048.pdf))
- Homepage
- On the choice of the low-dimensional domain for globaloptimization via random embedding
- An Alternative View: When Does SGD Escape Local Minima?
- Adam: A Method for Stochastic Optimization
- TAdam: A Robust Stochastic Gradient Optimizer
- Code
- LaProp: a Better Way to Combine Momentum with Adaptive Gradient
- A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
- Practical Bayesian Optimization of Machine Learning Algorithms
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
- Bayesian Optimization in High Dimensions via Random Embeddings
- A Framework for Bayesian Optimization in Embedded Subspaces
- High Dimensional Bayesian Optimization via Supervised Dimension Reduction
- Semi-supervised Embedding Learning for High-dimensionalBayesian Optimization
- BOHB: Robust and Efficient Hyperparameter Optimization at Scale
- Population Based Training of Neural Networks
- Approximate Solution of Certain Types of Constrained Optimization Problems
- Wiki
- Particle Swarm Optimization
- Some Aspects of the Sequential Design of Experiments
- Multi-armed Bandit Algorithmsand Empirical Evaluation
- A modern Bayesian look at the multi-armed bandit
- Pareto set
- Homepage
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