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Adversarially Robust Optimization with Gaussian Processes

25 October 2018

Papers citing "Adversarially Robust Optimization with Gaussian Processes"

39 / 39 papers shown

Title
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 81 1 0 22 Oct 2024
Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai Q. Nguyen Sebastian Shenghong Tay Daisuke Urano Richalynn Leong Bryan Kian Hsiang Low Patrick Jaillet 37 5 0 02 Nov 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 78 12 0 05 Sep 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 75 10 0 11 Jan 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 101 11 0 25 Oct 2022
Learning Representation for Bayesian Optimization with Collision-free Regularization Fengxue Zhang Brian D. Nord Yuxin Chen OOD BDL 42 2 0 16 Mar 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 45 14 0 15 Mar 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 85 13 0 04 Mar 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 92 38 0 15 Feb 2022
Distributed saddle point problems for strongly concave-convex functions Muhammad I. Qureshi U. Khan 122 12 0 11 Feb 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett 79 9 0 03 Feb 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 68 13 0 31 Jan 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 99 36 0 02 Jan 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 86 45 0 09 Nov 2021
Risk-averse Heteroscedastic Bayesian Optimization A. Makarova Ilnura N. Usmanova Ilija Bogunovic Andreas Krause 79 36 0 05 Nov 2021
Adversarial Attacks on Gaussian Process Bandits E. Han Jonathan Scarlett GP AAML 57 6 0 16 Oct 2021
Bayesian Optimization for Min Max Optimization D. Weichert Alexander Kister 63 2 0 29 Jul 2021
Bayesian Optimisation with Formal Guarantees F. Brauße Z. Khasidashvili Konstantin Korovin 21 0 0 10 Jun 2021
Bias-Robust Bayesian Optimization via Dueling Bandits Johannes Kirschner Andreas Krause 48 11 0 25 May 2021
Adversarial Robustness Guarantees for Gaussian Processes A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 188 9 0 07 Apr 2021
Robust Bandit Learning with Imperfect Context Jianyi Yang Shaolei Ren 61 8 0 09 Feb 2021
Active learning for distributionally robust level-set estimation Yu Inatsu S. Iwazaki Ichiro Takeuchi 91 15 0 08 Feb 2021
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 123 80 0 07 Dec 2020
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia Sattar Vakili Qing Zhao 108 34 0 27 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 145 113 0 20 Oct 2020
Mean-Variance Analysis in Bayesian Optimization under Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 75 34 0 17 Sep 2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure S. Iwazaki Yu Inatsu Ichiro Takeuchi TPM 72 11 0 22 Jun 2020
Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence Tengyu Xu Zhe Wang Yingbin Liang H. Vincent Poor 65 30 0 16 Jun 2020
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS S. Shekhar T. Javidi 31 20 0 11 May 2020
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time Hideaki Imamura Nontawat Charoenphakdee Futoshi Futami Issei Sato Junya Honda Masashi Sugiyama 54 3 0 10 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 103 53 0 04 Mar 2020
Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 73 11 0 28 Feb 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 113 79 0 20 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 102 38 0 07 Feb 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 85 28 0 22 Jan 2020
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 94 26 0 30 Sep 2019
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 94 40 0 18 Sep 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury Aditya Gopalan 65 27 0 16 Sep 2019
Adversarial Robustness Guarantees for Classification with Gaussian Processes Arno Blaas A. Patané Luca Laurenti L. Cardelli Marta Z. Kwiatkowska Stephen J. Roberts GP AAML 89 21 0 28 May 2019