BoTorch: Programmable Bayesian Optimization in PyTorch
Abstract:
Bayesian optimization provides sample-efficient global optimization for a broad range of applications, including automatic machine learning, molecular chemistry, and experimental design. We introduce BoTorch, a modern programming framework for Bayesian optimization. Enabled by Monte-Carlo (MC) acquisition functions and auto-differentiat...More
Code:
Data:
Full Text
Tags
Comments