20260126 Iclr

Our paper Local Entropy Search over Descent Sequences for Bayesian Optimization was accepted to ICLR 2026. We introduce Local Entropy Search, a Bayesian optimization method for large, complex design spaces that decides what to evaluate next by reducing uncertainty about where an iterative optimizer (like gradient descent) will end up.