Samuel (Sam) Daulton | DeepAI

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∙ 10/18/2022

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

Optimizing expensive-to-evaluate black-box functions of discrete (and po...

16 Samuel (Sam) Daulton, et al. ∙

∙ 10/04/2022

Log-Linear-Time Gaussian Processes Using Binary Tree Kernels

Gaussian processes (GPs) produce good probabilistic models of functions,...

0 Michael K. Cohen, et al. ∙

∙ 02/15/2022

Robust Multi-Objective Bayesian Optimization Under Input Noise

Bayesian optimization (BO) is a sample-efficient approach for tuning des...

0 Samuel (Sam) Daulton, et al. ∙

∙ 09/22/2021

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

The ability to optimize multiple competing objective functions with high...

0 Samuel (Sam) Daulton, et al. ∙

∙ 05/17/2021

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Optimizing multiple competing black-box objectives is a challenging prob...

0 Samuel (Sam) Daulton, et al. ∙

∙ 11/29/2020

Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning

Thompson sampling (TS) has emerged as a robust technique for contextual ...

0 Hongseok Namkoong, et al. ∙

∙ 06/09/2020

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

In many real-world scenarios, decision makers seek to efficiently optimi...

0 Samuel (Sam) Daulton, et al. ∙

∙ 11/02/2019

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

Recent advances in contextual bandit optimization and reinforcement lear...

0 Samuel (Sam) Daulton, et al. ∙

∙ 10/14/2019

BoTorch: Programmable Bayesian Optimization in PyTorch

Bayesian optimization provides sample-efficient global optimization for ...

30 Maximilian Balandat, et al. ∙

∙ 06/20/2017

Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes

We introduce a new formulation of the Hidden Parameter Markov Decision P...

0 Taylor Killian, et al. ∙