Daulton, Samuel

11 publications

AutoML 2025 Ax: A Platform for Adaptive Experimentation Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat, Eytan Bakshy

NeurIPS 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

NeurIPS 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A Osborne, Eytan Bakshy

NeurIPS 2022 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels Michael K. Cohen, Samuel Daulton, Michael A Osborne

UAI 2022 Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

ICML 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

ICMLW 2021 Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed A Aly, Ganesh Venkatesh, Maximilian Balandat

NeurIPS 2021 Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Samuel Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat, Brian Karrer, Daniel Jiang, Samuel Daulton, Ben Letham, Andrew G Wilson, Eytan Bakshy

NeurIPS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Samuel Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes Taylor W Killian, Samuel Daulton, George Konidaris, Finale Doshi-Velez