Bayesopt Tutorial in Python & BoTorch Bayesian optimization (BayesOpt) is a powerful and widely-used set of machine-learning-based methods that can solve really hard optimization problems: ...

BoTorch is a library built on top of PyTorch for Bayesian Optimization. It combines Monte-Carlo (MC) acquisition functions, a novel sample average approximation optimization approach, ...

At its F8 developer conference, Facebook today launched Ax and BoTorch, two new open-source AI tools. BoTorch, which, as the name implies, is based on PyTorch, is a library for Bayesian optimization.

The tutorial on custom acquistion functions throws an error on the ScalarizedUpperConfidenceBound example using botorch 0.2.2. ~/.local/lib/python3.8/site-packages ...