No-Regret Bayesian optimization with finite-library input-warped kernels
Read the original at arxiv.org→arXiv:2609.02993v1 Announce Type: new Abstract: Gaussian-process Bayesian optimization (GP-BO) excels at black-box optimization of costly functions, e.g., hyperparameter optimization (HPO) and multi-agent system...
Original headline: "No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels"
Coverage timeline
- Sep 4, 04:00 UTC arXiv cs.LG lead source No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels