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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
Gradient Flow Sampler-based Distributionally Robust Optimization Zusen Xu Jia Jie Zhu 100 0 0 29 Oct 2025
Improved Stochastic Optimization of LogSumExp E. Gladin Alexey Kroshnin Jia Jie Zhu Pavel Dvurechensky 76 0 0 29 Sep 2025
Distributionally Robust Federated Learning with Outlier Resilience Zifan Wang Xinlei Yi Xenia Konti Michael M. Zavlanos Karl H. Johansson OOD 60 0 0 29 Sep 2025
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation Chenruo Liu Hongjun Liu Zeyu Lai Yiqiu Shen Chen Zhao Qi Lei 80 1 0 12 Aug 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 202 1 0 28 May 2025
When Shift Happens - Confounding Is to Blame Abbavaram Gowtham Reddy Celia Rubio-Madrigal R. Burkholz Krikamol Muandet OOD 246 1 0 27 May 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu Li Lin Wenbin Zhang Xin Wang Zhenhuan Yang Shu Hu NoLa 306 5 0 24 May 2025
Conformalized Decision Risk Assessment Wenbin Zhou Agni Orfanoudaki Shixiang Zhu OffRL 305 2 0 19 May 2025
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws Xiyuan Wei Ming Lin Fanjiang Ye Fengguang Song Liangliang Cao My T. Thai Tianbao Yang LLMSV 341 2 0 10 May 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 305 15 0 17 Apr 2025
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization Yue Yang Yi Zhou Zhaosong Lu 261 0 0 29 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 254 1 0 19 Mar 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataComputer Vision and Pattern Recognition (CVPR), 2025 Zengqun Zhao Ziquan Liu Yu Cao Shaogang Gong Ioannis Patras 161 2 0 07 Mar 2025
Elliptic Loss RegularizationInternational Conference on Learning Representations (ICLR), 2025 Ali Hasan Haoming Yang Yuting Ng Vahid Tarokh 237 1 0 04 Mar 2025
Distributionally Robust Reinforcement Learning with Human Feedback Debmalya Mandal Paulius Sasnauskas Goran Radanović 164 5 0 01 Mar 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity AnalysisMathematical programming (Math. Program.), 2022 Jiajin Li Lingling Zhu Anthony Man-Cho So 505 12 0 17 Jan 2025
Re-evaluating Group Robustness via Adaptive Class-Specific ScalingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Seonguk Seo Bohyung Han 264 0 0 19 Dec 2024
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Hexuan Deng Wenxiang Jiao Xuebo Liu Min Zhang Zhaopeng Tu Zhaopeng Tu VLM 485 1 0 21 Nov 2024
Fair and Welfare-Efficient Constrained Multi-matchings under UncertaintyNeural Information Processing Systems (NeurIPS), 2024 Elita Lobo Justin Payan Cyrus Cousins Yair Zick 141 0 0 04 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 182 2 0 02 Nov 2024
Error Feedback under $(L_0,L_1)$ -Smoothness: Normalization and Momentum Sarit Khirirat Abdurakhmon Sadiev Artem Riabinin Eduard A. Gorbunov Peter Richtárik 237 6 0 22 Oct 2024
Efficient Bias Mitigation Without Privileged InformationEuropean Conference on Computer Vision (ECCV), 2024 Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 232 6 0 26 Sep 2024
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization Zhihao Gu Zi Xu 256 1 0 22 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization Yangdi Wang Zhi-Hai Zhang Su Xiu Xu Wenming Guo 208 0 0 09 Aug 2024
Model Debiasing by Learnable Data Augmentation Pietro Morerio R. Ragonesi Vittorio Murino 173 1 0 09 Aug 2024
SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge Rujun Jiang 180 0 0 19 Jul 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 194 3 0 04 Jul 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold Amrith Rajagopal Setlur Saurabh Garg Xinyang Geng Naman Garg Virginia Smith Aviral Kumar 373 88 0 20 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 185 6 0 15 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Tianyu Wang Peng Cui Zhiwei Steven Wu 212 9 0 02 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 585 27 0 02 Jun 2024
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction Jake Roth Ying Cui 147 3 0 13 May 2024
The Role of Learning Algorithms in Collective Action Omri Ben-Dov Jake Fawkes Samira Samadi Amartya Sanyal 171 8 0 10 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation MitigationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Guangtao Zheng Wenqian Ye Aidong Zhang 162 11 0 06 May 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang Yi Zhou Ashley Prater-Bennette Lixin Shen Shaofeng Zou 261 4 0 01 Apr 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization Yifan Hao Yong Lin Difan Zou Tong Zhang OODD OOD 192 6 0 26 Mar 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations Rwiddhi Chakraborty Adrian Sletten Michael C. Kampffmeyer 244 4 0 20 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 187 10 0 15 Mar 2024
Robust COVID-19 Detection in CT Images with CLIPConference on Multimedia Information Processing and Retrieval (MIPR), 2024 Li Lin Yamini Sri Krubha Zhenhuan Yang Cheng Ren Thuc Duy Le Irene Amerini Xin Eric Wang Shu Hu 195 14 0 13 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute ClassificationComputer Vision and Pattern Recognition (CVPR), 2024 Tai-wei Chang Qianpei He Kun Kuang Tianyu Wang Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 228 10 0 11 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 160 1 0 28 Feb 2024
Preserving Fairness Generalization in Deepfake Detection Li Lin Xinan He Yan Ju Xin Eric Wang Feng Ding Shu Hu 196 87 0 27 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations Md Rifat Arefin Yan Zhang A. Baratin Francesco Locatello Irina Rish Dianbo Liu Kenji Kawaguchi 185 8 0 20 Feb 2024
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning Wenqian Ye Luyang Jiang Xu Cao Guangtao Zheng Yunsheng Ma ... Huang Ziran Wang James M. Rehg Henry Kautz Andrew Gordon Wilson OOD AAML CML 433 58 0 20 Feb 2024
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity Ahmet Alacaoglu Donghwan Kim Stephen J. Wright 246 5 0 07 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine WorkersInternational Conference on Machine Learning (ICML), 2024 Ron Dorfman Naseem Yehya Kfir Y. Levy 213 5 0 05 Feb 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate ShiftInternational Conference on Machine Learning (ICML), 2023 Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 160 3 0 29 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 249 58 0 10 Dec 2023
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2023 Sina Baharlouei Shivam Patel Meisam Razaviyayn 347 4 0 06 Dec 2023
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 199 1 0 21 Nov 2023