Samuel Daulton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
4
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | ICML | Bayesian Optimization of Function Networks with Partial Evaluations. | Poompol Buathong, Jiayue Wan, Raul Astudillo, Samuel Daulton, Maximilian Balandat, Peter I. Frazier |
| 2023 | ICML | Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information. | Samuel Daulton, Maximilian Balandat, Eytan Bakshy |
| 2022 | ICML | Robust Multi-Objective Bayesian Optimization Under Input Noise. | Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy |
| 2022 | UAI | Multi-objective Bayesian optimization over high-dimensional search spaces. | Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy |
| 2021 | ICASSP | Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. | Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr. |