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Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation



Benjamin Letham , Phillip Guan , Chase Tymms , Eytan Bakshy , Michael Shvartsman

* In: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, AISTATS 

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Sparse Bayesian Optimization



Sulin Liu , Qing Feng , David Eriksson , Benjamin Letham , Eytan Bakshy


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Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization



Benjamin Letham , Roberto Calandra , Akshara Rai , Eytan Bakshy


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BoTorch: Programmable Bayesian Optimization in PyTorch



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


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Bayesian Optimization for Policy Search via Online-Offline Experimentation



Benjamin Letham , Eytan Bakshy


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Constrained Bayesian Optimization with Noisy Experiments



Benjamin Letham , Brian Karrer , Guilherme Ottoni , Eytan Bakshy


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Scalable Meta-Learning for Bayesian Optimization



Matthias Feurer , Benjamin Letham , Eytan Bakshy


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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model



Benjamin Letham , Cynthia Rudin , Tyler H. McCormick , David Madigan

* Annals of Applied Statistics 2015, Vol. 9, No. 3, 1350-1371 
* Published at http://dx.doi.org/10.1214/15-AOAS848 in the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

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