3 papers
stat.ML2025
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…
stat.ML2025
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…
stat.ML2025
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…