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Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach

11 October 2016

Papers citing "Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach"

50 / 202 papers shown

Title
Efficient Data-Driven Optimization with Noisy Data Bart P. G. Van Parys 55 3 0 08 Feb 2021
The Privacy-Utility Tradeoff of Robust Local Differential Privacy Milan Lopuhaä-Zwakenberg J. Goseling 70 4 0 22 Jan 2021
Regularized Policies are Reward Robust Hisham Husain K. Ciosek Ryota Tomioka 47 25 0 18 Jan 2021
Residuals-based distributionally robust optimization with covariate information R. Kannan G. Bayraksan James R. Luedtke 71 43 0 02 Dec 2020
Improving Offline Contextual Bandits with Distributional Robustness Otmane Sakhi Louis Faury Flavian Vasile OffRL 41 7 0 13 Nov 2020
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions Kartik Ahuja Karthikeyan Shanmugam Amit Dhurandhar 59 9 0 28 Oct 2020
Evaluating Model Robustness and Stability to Dataset Shift Adarsh Subbaswamy R. Adams Suchi Saria OOD 69 9 0 28 Oct 2020
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks Huimin Zeng Chen Zhu Tom Goldstein Furong Huang AAML 61 18 0 24 Oct 2020
CoinDICE: Off-Policy Confidence Interval Estimation Bo Dai Ofir Nachum Yinlam Chow Lihong Li Csaba Szepesvári Dale Schuurmans OffRL 76 87 0 22 Oct 2020
Minimax Classification with 0-1 Loss and Performance Guarantees Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 64 13 0 15 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 70 385 0 14 Oct 2020
Distributionally Robust Parametric Maximum Likelihood Estimation Viet Anh Nguyen Xuhui Zhang Jose H. Blanchet A. Georghiou OOD 24 8 0 11 Oct 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality Rui Gao 81 94 0 09 Sep 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras Aleksander Madry OOD 68 175 0 11 Aug 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 77 81 0 28 Jul 2020
Accounting for Unobserved Confounding in Domain Generalization Alexis Bellot M. Schaar CML OOD 97 23 0 21 Jul 2020
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu Rong Jin Tianbao Yang 102 47 0 17 Jun 2020
Risk Variance Penalization Chuanlong Xie Haotian Ye Fei Chen Yue Liu Rui Sun Zhenguo Li 172 33 0 13 Jun 2020
Kernel Distributionally Robust Optimization Jia Jie Zhu Wittawat Jitkrittum Moritz Diehl Bernhard Schölkopf 105 16 0 12 Jun 2020
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric Ruidi Chen I. Paschalidis OOD 44 4 0 10 Jun 2020
Distributionally Robust Batch Contextual Bandits Nian Si Fan Zhang Zhengyuan Zhou Jose H. Blanchet OffRL 89 26 0 10 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 70 22 0 08 Jun 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 59 13 0 12 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 113 252 0 11 Feb 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling Lucas Fidon Michael Aertsen Thomas Deprest Doaa Emam Frédéric Guffens ... Andrew Melbourne Sébastien Ourselin Jan Deprest Georg Langs Tom Vercauteren OOD 96 10 0 08 Jan 2020
Incorporating Unlabeled Data into Distributionally Robust Learning Charlie Frogner Sebastian Claici Edward Chien Justin Solomon OOD 78 26 0 16 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 112 1,250 0 20 Nov 2019
Corruption-robust exploration in episodic reinforcement learning Thodoris Lykouris Max Simchowitz Aleksandrs Slivkins Wen Sun 105 105 0 20 Nov 2019
Model Specification Test with Unlabeled Data: Approach from Covariate Shift Masahiro Kato H. Kawarazaki OOD 443 0 0 02 Nov 2019
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 146 54 0 28 Oct 2019
Diametrical Risk Minimization: Theory and Computations Matthew Norton J. Royset 59 19 0 24 Oct 2019
Distributionally Robust Language Modeling Yonatan Oren Shiori Sagawa Tatsunori B. Hashimoto Percy Liang OOD 93 176 0 04 Sep 2019
Distributionally Robust Optimization: A Review Hamed Rahimian Sanjay Mehrotra 74 134 0 13 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 260 2,249 0 05 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 88 120 0 28 Jun 2019
Distributionally Robust Counterfactual Risk Minimization Louis Faury Ugo Tanielian Flavian Vasile E. Smirnova Elvis Dohmatob 78 45 0 14 Jun 2019
Improving Neural Language Modeling via Adversarial Training Dilin Wang Chengyue Gong Qiang Liu AAML 115 119 0 10 Jun 2019
Maximum Weighted Loss Discrepancy Fereshte Khani Aditi Raghunathan Percy Liang 61 16 0 08 Jun 2019
Empirical Likelihood for Contextual Bandits Nikos Karampatziakis John Langford Paul Mineiro OffRL 134 9 0 07 Jun 2019
Distributionally Robust Optimization and Generalization in Kernel Methods Matthew Staib Stefanie Jegelka 88 134 0 27 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 92 131 0 24 May 2019
A Distributionally Robust Boosting Algorithm Jose H. Blanchet Yang Kang Fan Zhang Zhangyi Hu 39 7 0 20 May 2019
General risk measures for robust machine learning Émilie Chouzenoux Henri Gérard J. Pesquet OOD 50 7 0 26 Apr 2019
Parametric Scenario Optimization under Limited Data: A Distributionally Robust Optimization View Henry Lam Fengpei Li 20 0 0 25 Apr 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 68 60 0 23 Feb 2019
Supervised classification via minimax probabilistic transformations Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 31 2 0 02 Feb 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 163 142 0 24 Jan 2019
Robust Optimization over Multiple Domains Qi Qian Shenghuo Zhu Jiasheng Tang Rong Jin Baigui Sun Hao Li OOD 97 71 0 19 May 2018
Distributionally Robust Submodular Maximization Matthew Staib Bryan Wilder Stefanie Jegelka 100 36 0 14 Feb 2018
Calibration of Distributionally Robust Empirical Optimization Models Jun-ya Gotoh M. J. Kim Andrew E. B. Lim 89 44 0 17 Nov 2017