2 papers
cs.LG2026
Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context
Tigran Ramazyan, Denis Derkach
We study Bayesian Optimisation (BO) in settings where the objective function is influenced by uncontrollable environmental contexts governed by an unknown probability distribution.…
cs.LG2025
Distilling Normalizing Flows
Steven Walton, Valeriy Klyukin, Maksim Artemev +3
Explicit density learners are becoming an increasingly popular technique for generative models because of their ability to better model probability distributions. They have advanta…