Samuel (Sam) Daulton
Samuel (Sam) Daulton
Research Scientist, Facebook
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Viittaukset
Viittaukset
Vuosi
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
742017
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 (NeurIPS), 2020
652020
Botorch: Programmable bayesian optimization in pytorch
M Balandat, B Karrer, DR Jiang, S Daulton, B Letham, AG Wilson, ...
arxiv e-prints, arXiv: 1910.06403, 2019
622019
Differentiable expected hypervolume improvement for parallel multi-objective Bayesian optimization
S Daulton, M Balandat, E Bakshy
arXiv preprint arXiv:2006.05078, 2020
312020
Thompson sampling for contextual bandit problems with auxiliary safety constraints
S Daulton, S Singh, V Avadhanula, D Dimmery, E Bakshy
arXiv preprint arXiv:1911.00638, 2019
82019
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
52021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
S Daulton, M Balandat, E Bakshy
arXiv preprint arXiv:2105.08195, 2021
22021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
S Daulton, D Eriksson, M Balandat, E Bakshy
arXiv preprint arXiv:2109.10964, 2021
2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
D Eriksson, PIJ Chuang, S Daulton, A Aly, A Babu, A Shrivastava, P Xia, ...
arXiv preprint arXiv:2106.11890, 2021
2021
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
H Namkoong, S Daulton, E Bakshy
arXiv preprint arXiv:2011.14266, 2020
2020
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Artikkelit 1–10