4 papers · 1 filter
Asymptotic Performance of Time-Varying Bayesian Optimization
Anthony Bardou, Patrick Thiran
Time-Varying Bayesian Optimization (TVBO) is the go-to framework for optimizing a time-varying black-box objective function that may be noisy and expensive to evaluate, but its exc…
Time-Varying Bayesian Optimization Without a Metronome
Anthony Bardou, Patrick Thiran
Time-Varying Bayesian Optimization (TVBO) is the go-to framework for optimizing a time-varying, expensive, noisy black-box function . However, most of the asymptotic guarantees…
Symmetry-Aware Bayesian Optimization via Max Kernels
Anthony Bardou, Antoine Gonon, Aryan Ahadinia +1
Bayesian Optimization (BO) is a powerful framework for optimizing noisy, expensive-to-evaluate black-box functions. When the objective exhibits invariances under a group action, ex…
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
Anthony Bardou, Patrick Thiran, Giovanni Ranieri
Bayesian Optimization (BO) has proven to be very successful at optimizing a static, noisy, costly-to-evaluate black-box function . However, optimizi…