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No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.02993v1 Announce Type: cross Abstract: Gaussian-process Bayesian optimization (GP-BO) excels at black-box optimization of costly functions, e.g., hyperparameter optimization (HPO) and multi-agent system (MAS) design. Convergence-rate guarantees exist for select methods, notably GP upper…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

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