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Regret Bounds for Gaussian-Process Optimization in Large Domains
v1v2v3 (latest)

Regret Bounds for Gaussian-Process Optimization in Large Domains

Neural Information Processing Systems (NeurIPS), 2021
29 April 2021
M. Wuthrich
Bernhard Schölkopf
Andreas Krause
ArXiv (abs)PDFHTML

Papers citing "Regret Bounds for Gaussian-Process Optimization in Large Domains"

7 / 7 papers shown
Last Iterate Analyses of FTRL in Stochasitc Bandits
Last Iterate Analyses of FTRL in Stochasitc Bandits
Jingxin Zhan
Yuze Han
Zhihua Zhang
153
0
0
26 Oct 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection
High Dimensional Bayesian Optimization using Lasso Variable SelectionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Vu Viet Hoang
Hung The Tran
Sunil R. Gupta
Vu Nguyen
393
0
0
02 Apr 2025
Best Arm Identification in Batched Multi-armed Bandit Problems
Best Arm Identification in Batched Multi-armed Bandit Problems
Sheng Cao
Simai He
Ruoqing Jiang
Jin Xu
Hongsong Yuan
297
1
0
21 Dec 2023
No-Regret Constrained Bayesian Optimization of Noisy and Expensive
  Hybrid Models using Differentiable Quantile Function Approximations
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function ApproximationsJournal of Process Control (J. Process Control), 2023
Congwen Lu
J. Paulson
338
10
0
05 May 2023
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
275
4
0
04 Aug 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in
  Noisy Bayesian Optimization
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Shouri Hu
Haowei Wang
Zhongxiang Dai
K. H. Low
Szu Hui Ng
321
10
0
10 May 2022
Power of human-algorithm collaboration in solving combinatorial
  optimization problems
Power of human-algorithm collaboration in solving combinatorial optimization problems
Tapani Toivonen
192
1
0
25 Jul 2021
1
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