Adversarially Robust Optimization with Gaussian Processes

25 October 2018

Papers citing "Adversarially Robust Optimization with Gaussian Processes"

21 / 21 papers shown

Title
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 41 0 0 22 Oct 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 47 10 0 05 Sep 2023
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min--Max Optimization and its Application to Berthing Control Tasks Atsuhiro Miyagi Yoshiki Miyauchi A. Maki Kazuto Fukuchi Jun Sakuma Youhei Akimoto 75 2 0 28 Mar 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 32 13 0 03 Feb 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 30 9 0 11 Jan 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 42 10 0 25 Oct 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 45 13 0 04 Mar 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 28 13 0 31 Jan 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 32 35 0 02 Jan 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 57 43 0 09 Nov 2021
Risk-averse Heteroscedastic Bayesian Optimization A. Makarova Ilnura N. Usmanova Ilija Bogunovic Andreas Krause 35 35 0 05 Nov 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 32 74 0 07 Dec 2020
Mean-Variance Analysis in Bayesian Optimization under Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 36 33 0 17 Sep 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 35 51 0 04 Mar 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 45 77 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 47 36 0 07 Feb 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 23 25 0 22 Jan 2020
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause OffRL 37 40 0 18 Sep 2019
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 112 404 0 06 Mar 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 69 95 0 25 Jan 2016