Samuel Daulton

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · arXiv (Cornell University) · 2019 · 202 citations · Full text

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +15

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Samuel Daulton, Maximilian Balandat, Eytan Bakshy · arXiv (Cornell University) · 2020 · 121 citations · Full text

Large-scale Global Optimization, Engineering, Machine Learning +17

Parallel Bayesian Optimization of Multiple Noisy Objectives with\n Expected Hypervolume Improvement

Samuel Daulton, Maximilian Balandat, Eytan Bakshy · arXiv (Cornell University) · 2021 · 92 citations · Full text

BoTorch: Programmable Bayesian Optimization in PyTorch.

Maximilian Balandat, Brian Karrer, Daniel Jiang et al. · 2019 · 60 citations

Artificial Intelligence, Model Optimization, Hyperparameter Estimation +14

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Sebastian Ament, Samuel Daulton, David Eriksson et al. · arXiv (Cornell University) · 2023 · 41 citations · Full text

Large-scale Global Optimization, Bayesian Statistic, Engineering +16