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2102.05793
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Lenient Regret and Good-Action Identification in Gaussian Process Bandits
International Conference on Machine Learning (ICML), 2021
11 February 2021
Xu Cai
S. Gomes
Jonathan Scarlett
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Papers citing
"Lenient Regret and Good-Action Identification in Gaussian Process Bandits"
9 / 9 papers shown
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Shogo Iwazaki
GP
349
9
0
02 Jun 2025
High-dimensional Nonparametric Contextual Bandit Problem
Shogo Iwazaki
Junpei Komiyama
Masaaki Imaizumi
255
1
0
20 May 2025
Stopping Bayesian Optimization with Probabilistic Regret Bounds
James T. Wilson
353
13
0
26 Feb 2024
Robust Bayesian Satisficing
Neural Information Processing Systems (NeurIPS), 2023
Artun Saday
Yacsar Cahit Yildirim
Cem Tekin
300
3
0
16 Aug 2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation
Huong Ha
Vu-Linh Nguyen
Hung Tran-The
Hongyu Zhang
Xiuzhen Zhang
Anton Van Den Hengel
380
1
0
12 Jun 2023
Collaborative Learning in Kernel-based Bandits for Distributed Users
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Sudeep Salgia
Sattar Vakili
Qing Zhao
FedML
289
7
0
16 Jul 2022
Adversarial Attacks on Gaussian Process Bandits
E. Han
Jonathan Scarlett
GP
AAML
371
7
0
16 Oct 2021
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
561
58
0
15 Oct 2021
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
545
34
0
30 May 2018
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