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Samuel (Sam) Daulton
Samuel (Sam) Daulton
Research Scientist - Meta
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
BoTorch: A framework for efficient Monte-Carlo Bayesian optimization
M Balandat, B Karrer, D Jiang, S Daulton, B Letham, AG Wilson, E Bakshy
Advances in neural information processing systems 33, 21524-21538, 2020
754*2020
Differentiable expected hypervolume improvement for parallel multi-objective Bayesian optimization
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems 33, 2020
2262020
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
TW Killian, S Daulton, G Konadaris, F Doshi-Velez
Advances in Neural Information Processing Systems 30, 2017
1232017
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
S Daulton, M Balandat, E Bakshy
Advances in Neural Information Processing Systems 34, 2021
1142021
Multi-objective bayesian optimization over high-dimensional search spaces
S Daulton, D Eriksson, M Balandat, E Bakshy
Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial …, 2022
862022
Optimizing coverage and capacity in cellular networks using machine learning
RM Dreifuerst, S Daulton, Y Qian, P Varkey, M Balandat, S Kasturia, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
712021
Bayesian optimization over discrete and mixed spaces via probabilistic reparameterization
S Daulton, X Wan, D Eriksson, M Balandat, MA Osborne, E Bakshy
Advances in Neural Information Processing Systems 35, 2022
272022
Robust Multi-Objective Bayesian Optimization Under Input Noise
S Daulton, S Cakmak, M Balandat, MA Osborne, E Zhou, E Bakshy
Proceedings of the 39th International Conference on Machine Learning, 2022
272022
Thompson sampling for contextual bandit problems with auxiliary safety constraints
S Daulton, S Singh, V Avadhanula, D Dimmery, E Bakshy
NeurIPS Workshop on Safety and Robustness in Decision Making, 2019
192019
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
D Eriksson, PIJ Chuang, S Daulton, A Aly, A Babu, A Shrivastava, P Xia, ...
ICML AutoML Workshop, 2021
162021
Unexpected improvements to expected improvement for bayesian optimization
S Ament, S Daulton, D Eriksson, M Balandat, E Bakshy
Advances in Neural Information Processing Systems 36, 2024
92024
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
H Namkoong, S Daulton, E Bakshy
NeurIPS Offline RL Workshop, 2020
62020
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
MK Cohen, S Daulton, MA Osborne
Advances in Neural Information Processing Systems 35, 2022
52022
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
S Daulton, M Balandat, E Bakshy
Proceedings of the 40th International Conference on Machine Learning, 2023
22023
Bayesian Optimization of Function Networks with Partial Evaluations
P Buathong, J Wan, S Daulton, R Astudillo, M Balandat, PI Frazier
arXiv preprint arXiv:2311.02146, 2023
12023
Bayesian optimization in adverse scenarios
S Daulton
University of Oxford, 2023
2023
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Articles 1–16