BoTorch: Programmable Bayesian Optimization in PyTorch

Cited by: 0|Bibtex|Views89
Other Links: arxiv.org

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
Your rating :
0

 

Tags
Comments