Samuel Gabriel Müller

$\alpha$-PFN: Fast Entropy Search via In-Context Learning

Information-theoretic acquisition functions such as Entropy Search (ES) offer a principled exploration–exploitation framework for Bayesian optimization (BO). However, their practical implementation relies on complicated and slow approximations, i.e., a Monte Carlo estimation of the information gain.…