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, auto-differentiation, and variance reduction techniques.

The post Guide to Bayesian Optimization Using BoTorch appeared first on Analytics India Magazine.