Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning

Dec 08, 2020
Hongseok Namkoong, Samuel Daulton, Eytan Bakshy

* Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2020 

  Access Paper or Ask Questions

Real-world Video Adaptation with Reinforcement Learning

Aug 28, 2020
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy

* Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019 

  Access Paper or Ask Questions

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Jun 11, 2020
Samuel Daulton, Maximilian Balandat, Eytan Bakshy

  Access Paper or Ask Questions

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Jan 31, 2020
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy

  Access Paper or Ask Questions

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

Nov 02, 2019
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

* To appear at NeurIPS 2019, Workshop on Safety and Robustness in Decision Making. 11 pages (including references and appendix) 

  Access Paper or Ask Questions

BoTorch: Programmable Bayesian Optimization in PyTorch

Oct 14, 2019
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy

  Access Paper or Ask Questions

Bayesian Optimization for Policy Search via Online-Offline Experimentation

Apr 29, 2019
Benjamin Letham, Eytan Bakshy

  Access Paper or Ask Questions

Constrained Bayesian Optimization with Noisy Experiments

Jun 26, 2018
Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy

  Access Paper or Ask Questions

Scalable Meta-Learning for Bayesian Optimization

Feb 06, 2018
Matthias Feurer, Benjamin Letham, Eytan Bakshy

  Access Paper or Ask Questions

Bias and high-dimensional adjustment in observational studies of peer effects

Jun 14, 2017
Dean Eckles, Eytan Bakshy

* 25 pages, 3 figures, 2 tables; supplementary information as ancillary file 

  Access Paper or Ask Questions