| 2026 | KDD | Case Study: Learning Robust, Long-run Surrogate Metrics with Modeling and Instrumental Variables. | Daniel Day, Matthew Dalton, Samuel Daulton, Benjamin Letham, Xiao Cai, Aojia Zhao, Eytan Bakshy |
| 2025 | KDD | Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments. | Qing Feng, Samuel Daulton, Benjamin Letham, Maximilian Balandat, Eytan Bakshy |
| 2024 | UAI | Response Time Improves Gaussian Process Models for Perception and Preferences. | Michael Shvartsman, Benjamin Letham, Eytan Bakshy, Stephen Keeley |
| 2023 | AAAI | A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. | Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman |
| 2023 | AISTATS | Sparse Bayesian optimization. | Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy |
| 2023 | SiggraphA | Perceptual Requirements for World-Locked Rendering in AR and VR. | Phillip Guan, Eric Penner, Joel Hegland, Benjamin Letham, Douglas Lanman |
| 2022 | AISTATS | Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation. | Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman |
| 2016 | KDD | Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts. | Benjamin Letham, Lydia M. Letham, Cynthia Rudin |
| 2014 | ICML | Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data. | Benjamin Letham, Wei Sun, Anshul Sheopuri |
| 2013 | AAAI | An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis. | Benjamin Letham, Cynthia Rudin, Tyler H. McCormick, David Madigan |