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Oct 23, 2023 · Abstract page for arXiv paper 2310.15351: Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency.
We compare the computational efficiency of REDS against algorithms with order-optimal regret performance, namely. BPE (Li & Scarlett, 2022) and GP-ThreDS ...
Feb 2, 2024 · We show that this random exploration approach, while simplistic in nature, leads to order-optimal regret guarantees under both noise-free and ...
May 2, 2024 · Our paper, "Sparse NMF with Archetypal Regularization: Computational and Robustness Properties," has been accepted for publication in the ...
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ... We consider Bayesian optimization using Gaussian Process models ...
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance. S Salgia, S Vakili, Q Zhao. Advances in Neural Information ...
June 2024: Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency is accepted at ICML 2024. April 2024: Giving a ...
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Aug 29, 2024 · Through experiments conducted on both synthetic and real images, we demonstrate the efficiency and reliability of the proposed algorithm.
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ... Optimization Algorithm with Order-Optimal Regret Performance.