Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization

15 March 2022

Papers citing "Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization"

9 / 9 papers shown

Title
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration Qinglin Zhu Runcong Zhao Hanqi Yan Yulan He Yudong Chen Lin Gui LRM 26 0 0 30 May 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 179 0 0 02 Apr 2025
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 115 2 0 21 Dec 2024
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization Nobuo Namura Sho Takemori 104 0 0 16 Dec 2024
A Corrected Expected Improvement Acquisition Function Under Noisy Observations Han Zhou Xingchen Ma Matthew B Blaschko 25 3 0 08 Oct 2023
Regret Bounds for Noise-Free Cascaded Kernelized Bandits Zihan Li Jonathan Scarlett 70 2 0 10 Nov 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 61 3 0 04 Aug 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 58 4 0 10 May 2022
Regret Bounds for Noise-Free Kernel-Based Bandits Sattar Vakili 69 3 0 12 Feb 2020