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stat.ML2025
No-Regret Gaussian Process Optimization of Time-Varying Functions
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
Sequential optimization of black-box functions from noisy evaluations has been widely studied, with Gaussian Process bandit algorithms such as GP-UCB guaranteeing no-regret in stat…
math.OC2025
Time-varying Gaussian Process Bandit Optimization with Experts: no-regret in logarithmically-many side queries
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
We study a time-varying Bayesian optimization problem with bandit feedback, where the reward function belongs to a Reproducing Kernel Hilbert Space (RKHS). We approach the problem…