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Large-Scale Methods for Distributionally Robust Optimization

12 October 2020

Papers citing "Large-Scale Methods for Distributionally Robust Optimization"

50 / 140 papers shown

Title
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data CoverageConference on Learning for Dynamics & Control (L4DC), 2023 Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 296 12 0 27 Oct 2023
Improving Generalization of Alignment with Human Preferences through Group Invariant LearningInternational Conference on Learning Representations (ICLR), 2023 Rui Zheng Wei Shen Yuan Hua Wenbin Lai Jiajun Sun ... Xiao Wang Haoran Huang Tao Gui Tao Gui Xuanjing Huang 273 22 0 18 Oct 2023
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent Kei Ishikawa BDL 221 0 0 03 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning ParadigmNeural Information Processing Systems (NeurIPS), 2023 Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 239 14 0 01 Oct 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework Sina Baharlouei Meisam Razaviyayn FaML OOD 242 1 0 20 Sep 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li J. Liu Wei Hu 311 8 0 13 Sep 2023
Topology-aware Robust Optimization for Out-of-distribution GeneralizationInternational Conference on Learning Representations (ICLR), 2023 Fengchun Qiao Xi Peng 218 12 0 26 Jul 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning Yaodong Yu Sai Praneeth Karimireddy Yi-An Ma Michael I. Jordan FedML 279 5 0 25 Jul 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and AnalysisIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Yang Jiao Kai Yang Dongjin Song 330 4 0 25 Jul 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 207 7 0 24 Jul 2023
Improving Fairness in Deepfake DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 301 53 0 29 Jun 2023
Task-Robust Pre-Training for Worst-Case Downstream AdaptationNeural Information Processing Systems (NeurIPS), 2023 Jianghui Wang Cheng Yang Xingyu Xie Cong Fang Zhouchen Lin OOD 217 1 0 21 Jun 2023
Safe Collaborative FilteringInternational Conference on Learning Representations (ICLR), 2023 Riku Togashi Tatsushi Oka Naoto Ohsaka Tetsuro Morimura 149 1 0 08 Jun 2023
Efficient Stochastic Approximation of Minimax Excess Risk OptimizationInternational Conference on Machine Learning (ICML), 2023 Lijun Zhang Haomin Bai W. Tu Ping Yang Yao Hu 343 4 0 31 May 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust ModelsNeural Information Processing Systems (NeurIPS), 2023 Waïss Azizian F. Iutzeler J. Malick OOD 319 12 0 26 May 2023
A Guide Through the Zoo of Biased SGDNeural Information Processing Systems (NeurIPS), 2023 Yury Demidovich Grigory Malinovsky Igor Sokolov Peter Richtárik 226 40 0 25 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Ting Wu Rui Zheng Tao Gui Tao Gui Xuanjing Huang 132 4 0 20 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature IndividualizationInternational Conference on Machine Learning (ICML), 2023 Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 252 26 0 19 May 2023
Discover and Cure: Concept-aware Mitigation of Spurious CorrelationInternational Conference on Machine Learning (ICML), 2023 Shirley Wu Mert Yuksekgonul Linjun Zhang James Zou 329 84 0 01 May 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 186 4 0 09 Apr 2023
Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments Quoc Tran-Dinh 203 11 0 30 Mar 2023
Distributionally Robust Optimization with Probabilistic GroupAAAI Conference on Artificial Intelligence (AAAI), 2023 Soumya Suvra Ghosal Shouqing Yang OOD 110 13 0 10 Mar 2023
Data-Driven Distributionally Robust Optimal Control with State-Dependent NoiseIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Rui Liu Guan-Yu Shi Erfaun Noorani 197 12 0 04 Mar 2023
Stochastic Approximation Approaches to Group Distributionally Robust Optimization Lijun Zhang Peng Zhao Zhen-Hua Zhuang Tianbao Yang Zhihong Zhou 302 6 0 18 Feb 2023
Revisiting adversarial training for the worst-performing class Thomas Pethick Grigorios G. Chrysos Volkan Cevher 153 7 0 17 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 194 5 0 11 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size ScheduleInternational Conference on Machine Learning (ICML), 2023 Maor Ivgi Oliver Hinder Y. Carmon ODL 439 86 0 08 Feb 2023
$Extragradient-Type Methods with $\mathcal{O} (1/k)$ Last-Iterate Convergence Rates for Co-Hypomonotone Inclusions$ Extragradient-Type Methods with $\mathcal{O} (1/k)$ Last-Iterate Convergence Rates for Co-Hypomonotone InclusionsJournal of Global Optimization (JGO), 2023 Quoc Tran-Dinh 322 4 0 08 Feb 2023
On the Theories Behind Hard Negative Sampling for RecommendationThe Web Conference (WWW), 2023 Wentao Shi Jiawei Chen Fuli Feng Jizhi Zhang Junkang Wu Chongming Gao Xiangnan He BDL 260 53 0 07 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group ShiftsInternational Conference on Learning Representations (ICLR), 2023 Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 243 12 0 06 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Shubham Sharma Sanghamitra Dutta Alan Mishler S. Garg 274 7 0 02 Feb 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and SpecificityIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023 Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 363 3 0 31 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution LearningInternational Conference on Machine Learning (ICML), 2023 Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 201 68 0 24 Jan 2023
Distributionally Robust Learning with Weakly Convex Losses: Convergence Rates and Finite-Sample Guarantees Landi Zhu Mert Gurbuzbalaban A. Ruszczynski 360 9 0 16 Jan 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax OptimizationNeural Information Processing Systems (NeurIPS), 2022 Taoli Zheng Lingling Zhu Anthony Man-Cho So Jose H. Blanchet Jiajin Li 536 24 0 26 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution ShiftOperational Research (OR), 2022 Hongseok Namkoong Yuanzhe Ma Peter Glynn 304 6 0 13 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 245 3 0 12 Dec 2022
Stochastic Optimization for Spectral Risk MeasuresInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Ronak R. Mehta Vincent Roulet Krishna Pillutla Lang Liu Zaïd Harchaoui 184 8 0 10 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Le‐Yu Chen Haishan Ye Luo Luo 476 10 0 05 Dec 2022
Learning Antidote Data to Individual UnfairnessInternational Conference on Machine Learning (ICML), 2022 Peizhao Li Ethan Xia Hongfu Liu FedML FaML 324 11 0 29 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline InvestigationNeural Information Processing Systems (NeurIPS), 2022 Josh Gardner Zoran Popovic Ludwig Schmidt OOD 261 25 0 23 Nov 2022
Outlier-Aware Training for Improving Group Accuracy Disparities Li-Kuang Chen Canasai Kruengkrai Junichi Yamagishi 144 1 0 27 Oct 2022
Just Mix Once: Worst-group Generalization by Group Interpolation Giorgio Giannone Serhii Havrylov Jordan Massiah Emine Yilmaz Yunlong Jiao 191 2 0 21 Oct 2022
Distributed Distributionally Robust Optimization with Non-Convex ObjectivesNeural Information Processing Systems (NeurIPS), 2022 Yang Jiao Kai Yang Dongjin Song 232 14 0 14 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size Q. Qi Jiameng Lyu Kung-Sik Chan E. Bai Tianbao Yang 215 17 0 11 Oct 2022
Self-supervised debiasing using low rank regularizationComputer Vision and Pattern Recognition (CVPR), 2022 Geon Yeong Park Chanyong Jung Sangmin Lee Jong Chul Ye Sang Wan Lee CML SSL 274 5 0 11 Oct 2022
Coresets for Wasserstein Distributionally Robust Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2022 Ru Huang Jiawei Huang Wenjie Liu Huihua Ding 327 10 0 09 Oct 2022
MaskTune: Mitigating Spurious Correlations by Forcing to ExploreNeural Information Processing Systems (NeurIPS), 2022 Saeid Asgari Taghanaki Aliasghar Khani Fereshte Khani A. Gholami Linh-Tam Tran Ali Mahdavi-Amiri Ghassan Hamarneh AAML 363 58 0 30 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware MixupNeural Information Processing Systems (NeurIPS), 2022 Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 259 45 0 19 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 278 20 0 05 Sep 2022