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2003.01971
Cited By
Corruption-Tolerant Gaussian Process Bandit Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
4 March 2020
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
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Papers citing
"Corruption-Tolerant Gaussian Process Bandit Optimization"
50 / 59 papers shown
Robust Bayesian Optimisation with Unbounded Corruptions
Abdelhamid Ezzerg
Ilija Bogunovic
Jeremias Knoblauch
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Dose-finding design based on level set estimation in phase I cancer clinical trials
Keiichiro Seno
Kota Matsui
S. Iwazaki
Yu Inatsu
Shion Takeno
Shigeyuki Matsui
181
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0
12 Apr 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning
International Conference on Algorithmic Learning Theory (ALT), 2021
Chen-Yu Wei
Christoph Dann
Julian Zimmert
412
51
0
31 Dec 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
Neural Information Processing Systems (NeurIPS), 2024
Haolin Liu
Artin Tajdini
Andrew Wagenmaker
Chen-Yu Wei
543
3
0
10 Oct 2024
Robust Q-Learning under Corrupted Rewards
IEEE Conference on Decision and Control (CDC), 2024
Sreejeet Maity
Aritra Mitra
AAML
248
0
0
05 Sep 2024
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang
Jinhang Zuo
Xutong Liu
John C. S. Lui
Mohammad Hajiesmaili
AAML
183
2
0
16 Aug 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
Yuko Kuroki
Alberto Rumi
Taira Tsuchiya
Fabio Vitale
Nicolò Cesa-Bianchi
339
13
0
24 Dec 2023
Robust and Conjugate Gaussian Process Regression
International Conference on Machine Learning (ICML), 2023
Matias Altamirano
F. Briol
Jeremias Knoblauch
420
18
0
01 Nov 2023
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
Annual Conference Computational Learning Theory (COLT), 2022
Osama A. Hanna
Lin F. Yang
Christina Fragouli
380
20
0
08 Nov 2022
Recent Advances in Bayesian Optimization
ACM Computing Surveys (ACM CSUR), 2022
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
409
482
0
07 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Neural Information Processing Systems (NeurIPS), 2022
A. Mitra
Arman Adibi
George J. Pappas
Hamed Hassani
213
8
0
06 Jun 2022
Federated Multi-Armed Bandits Under Byzantine Attacks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Artun Saday
Ilker Demirel
Yiğit Yıldırım
Cem Tekin
AAML
299
16
0
09 May 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Neural Information Processing Systems (NeurIPS), 2022
Ilija Bogunovic
Zihan Li
Andreas Krause
Jonathan Scarlett
328
11
0
03 Feb 2022
Misspecified Gaussian Process Bandit Optimization
Neural Information Processing Systems (NeurIPS), 2021
Ilija Bogunovic
Andreas Krause
266
57
0
09 Nov 2021
Risk-averse Heteroscedastic Bayesian Optimization
A. Makarova
Ilnura N. Usmanova
Ilija Bogunovic
Andreas Krause
249
42
0
05 Nov 2021
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Annual Conference Computational Learning Theory (COLT), 2021
Sattar Vakili
John Scarlett
T. Javidi
293
23
0
28 Oct 2021
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty
Shen Li
Theodoros Stouraitis
Michael Gienger
S. Vijayakumar
J. Shah
208
12
0
18 Oct 2021
Adversarial Attacks on Gaussian Process Bandits
E. Han
Jonathan Scarlett
GP
AAML
372
7
0
16 Oct 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Neural Information Processing Systems (NeurIPS), 2021
Shinji Ito
229
27
0
22 Sep 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification
A. Mitra
Hamed Hassani
George Pappas
FedML
285
30
0
13 Sep 2021
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili
N. Bouziani
Sepehr Jalali
A. Bernacchia
Da-shan Shiu
275
61
0
20 Aug 2021
Adapting to Misspecification in Contextual Bandits
Dylan J. Foster
Claudio Gentile
M. Mohri
Julian Zimmert
417
98
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12 Jul 2021
Neural Contextual Bandits without Regret
Parnian Kassraie
Andreas Krause
OffRL
355
48
0
07 Jul 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu
Shuai Li
Dapeng Li
226
6
0
08 Jun 2021
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Qin Ding
Cho-Jui Hsieh
James Sharpnack
AAML
271
39
0
05 Jun 2021
Bias-Robust Bayesian Optimization via Dueling Bandits
International Conference on Machine Learning (ICML), 2021
Johannes Kirschner
Andreas Krause
323
12
0
25 May 2021
High-Dimensional Experimental Design and Kernel Bandits
International Conference on Machine Learning (ICML), 2021
Romain Camilleri
Julian Katz-Samuels
Kevin Jamieson
281
62
0
12 May 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
International Conference on Machine Learning (ICML), 2021
Xu Cai
S. Gomes
Jonathan Scarlett
273
12
0
11 Feb 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Zixin Zhong
Wang Chi Cheung
Vincent Y. F. Tan
AAML
302
14
0
15 Oct 2020
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
S. Iwazaki
Yu Inatsu
Ichiro Takeuchi
203
33
0
17 Sep 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sattar Vakili
Kia Khezeli
Victor Picheny
GP
606
165
0
15 Sep 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Xu Cai
Jonathan Scarlett
420
32
0
20 Aug 2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
S. Iwazaki
Yu Inatsu
Ichiro Takeuchi
TPM
264
11
0
22 Jun 2020
Uncertainty quantification using martingales for misspecified Gaussian processes
International Conference on Algorithmic Learning Theory (ALT), 2020
Willie Neiswanger
Aaditya Ramdas
UQCV
285
15
0
12 Jun 2020
Contextual Search in the Presence of Adversarial Corruptions
Operational Research (OR), 2020
A. Krishnamurthy
Thodoris Lykouris
Chara Podimata
Robert Schapire
469
6
0
26 Feb 2020
Corruption-robust exploration in episodic reinforcement learning
Annual Conference Computational Learning Theory (COLT), 2019
Thodoris Lykouris
Max Simchowitz
Aleksandrs Slivkins
Wen Sun
360
114
0
20 Nov 2019
Stochastic Linear Optimization with Adversarial Corruption
Yingkai Li
Edmund Y. Lou
Liren Shan
AAML
168
43
0
04 Sep 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions
Anupam Gupta
Tomer Koren
Kunal Talwar
AAML
372
164
0
22 Feb 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song
Yuxin Chen
Yisong Yue
371
118
0
02 Nov 2018
Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic
Jonathan Scarlett
Stefanie Jegelka
Volkan Cevher
GP
AAML
208
136
0
25 Oct 2018
Stochastic bandits robust to adversarial corruptions
Thodoris Lykouris
Vahab Mirrokni
R. Leme
AAML
277
222
0
25 Mar 2018
Robust Maximization of Non-Submodular Objectives
Ilija Bogunovic
Junyao Zhao
Volkan Cevher
285
46
0
20 Feb 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
Paul Rolland
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
310
137
0
20 Feb 2018
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin
K. Tee
M. McCourt
190
61
0
12 Dec 2017
Gaussian Process bandits with adaptive discretization
S. Shekhar
T. Javidi
253
52
0
05 Dec 2017
Fast Information-theoretic Bayesian Optimisation
Binxin Ru
Mark McLeod
Diego Granziol
Michael A. Osborne
738
51
0
02 Nov 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
Annual Conference Computational Learning Theory (COLT), 2017
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
435
121
0
31 May 2017
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
581
539
0
03 Apr 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy
Gautam Dasarathy
J. Schneider
Barnabás Póczós
389
254
0
18 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
583
462
0
06 Mar 2017
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