Benjamin Letham

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Bayesian Inference

Transaction Data

Monte Carlo Sampling

Top Venues

Publications

Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes. CoRR (2024)
Michael Shvartsman, Benjamin Letham, Stephen Keeley
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences. CoRR (2023)
Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. AAAI (2023)
Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy
Sparse Bayesian optimization. AISTATS (2023)
Phillip Guan, Eric Penner, Joel Hegland, Benjamin Letham, Douglas Lanman
Perceptual Requirements for World-Locked Rendering in AR and VR. SIGGRAPH Asia (2023)
Phillip Guan, Eric Penner, Joel Hegland, Benjamin Letham, Douglas Lanman
Perceptual Requirements for World-Locked Rendering in AR and VR. CoRR (2023)
Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. CoRR (2022)
Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy
Sparse Bayesian Optimization. CoRR (2022)
Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. AISTATS (2022)
Qing Feng, Benjamin Letham, Hongzi Mao, Eytan Bakshy
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization. NeurIPS (2020)
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. NeurIPS (2020)
Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization. CoRR (2020)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. NeurIPS (2020)
Benjamin Letham, Eytan Bakshy
Bayesian Optimization for Policy Search via Online-Offline Experimentation. CoRR (2019)
Benjamin Letham, Eytan Bakshy
Bayesian Optimization for Policy Search via Online-Offline Experimentation. J. Mach. Learn. Res. 20 (2019)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: Programmable Bayesian Optimization in PyTorch. CoRR (2019)
Matthias Feurer, Benjamin Letham, Eytan Bakshy
Scalable Meta-Learning for Bayesian Optimization. CoRR (2018)
Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy
Constrained Bayesian Optimization with Noisy Experiments. CoRR (2017)
Sean J. Taylor, Benjamin Letham
Forecasting at Scale. PeerJ Prepr. 5 (2017)
Benjamin Letham, Lydia M. Letham, Cynthia Rudin
Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts. KDD (2016)
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model. CoRR (2015)
Benjamin Letham, Wei Sun, Anshul Sheopuri
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data. ICML (2014)
Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. AAAI (Late-Breaking Developments) (2013)
Cynthia Rudin, Benjamin Letham, David Madigan
Learning theory analysis for association rules and sequential event prediction. J. Mach. Learn. Res. 14 (1) (2013)
Benjamin Letham, Cynthia Rudin, David Madigan
Sequential event prediction. Mach. Learn. 93 (2-3) (2013)
Benjamin Letham, Cynthia Rudin, Katherine A. Heller
Growing a list. Data Min. Knowl. Discov. 27 (3) (2013)
Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan, David Madigan
Sequential Event Prediction with Association Rules. COLT (2011)