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Distributionally Robust Logistic Regression
30 September 2015
Soroosh Shafieezadeh-Abadeh
Peyman Mohajerin Esfahani
Daniel Kuhn
OOD
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Papers citing
"Distributionally Robust Logistic Regression"
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Distributionally Robust Federated Learning with Outlier Resilience
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Xinlei Yi
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Stochastic Bilevel Optimization with Heavy-Tailed Noise
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Luo Luo
253
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18 Sep 2025
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
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Nian Si
Molei Liu
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170
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11 Sep 2025
Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty
Xenia Konti
Yi Shen
Zifan Wang
Karl H. Johansson
Michael J. Pencina
Nicoleta J. Economou-Zavlanos
Michael M. Zavlanos
OOD
214
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10 Sep 2025
SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models
Gyuhak Kim
Sumiran Thakur
Su Min Park
Wei Wei
Yujia Bao
202
3
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17 Jun 2025
Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization
Tam Le
233
1
0
05 Jun 2025
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
416
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12 May 2025
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
Yue Yang
Yi Zhou
Zhaosong Lu
411
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0
29 Mar 2025
Mixed-feature Logistic Regression Robust to Distribution Shifts
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Qingshi Sun
Nathan Justin
A. Gómez
P. Vayanos
OOD
212
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15 Mar 2025
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
Wei Liu
Muhammad Khan
Gabriel Mancino-Ball
Yangyang Xu
291
3
0
24 Feb 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
Tianyi Lin
Chi Jin
Michael I. Jordan
653
25
0
28 Jan 2025
Universal generalization guarantees for Wasserstein distributionally robust models
International Conference on Learning Representations (ICLR), 2024
Tam Le
Jérome Malick
OOD
518
8
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28 Jan 2025
Alternating minimization for square root principal component pursuit
Shengxiang Deng
Xudong Li
Yangjing Zhang
451
1
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31 Dec 2024
Toward Robust Neural Reconstruction from Sparse Point Sets
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Amine Ouasfi
Shubhendu Jena
Eric Marchand
A. Boukhayma
326
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0
20 Dec 2024
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
IEEE Conference on Decision and Control (CDC), 2024
Xenia Konti
Hans Riess
Manos Giannopoulos
Yi Shen
Michael J. Pencina
Nicoleta J. Economou-Zavlanos
Michael M. Zavlanos
FedML
OOD
232
3
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09 Oct 2024
FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Michael Ibrahim
Heraldo Rozas
N. Gebraeel
Weijun Xie
FedML
OOD
362
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04 Oct 2024
Wasserstein Distributionally Robust Multiclass Support Vector Machine
Michael Ibrahim
Heraldo Rozas
N. Gebraeel
191
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Relative-Translation Invariant Wasserstein Distance
Binshuai Wang
Qiwei Di
Ming Yin
Mengdi Wang
Quanquan Gu
Peng Wei
260
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04 Sep 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
319
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Completely Parameter-Free Single-Loop Algorithms for Nonconvex-Concave Minimax Problems
Junnan Yang
Huiling Zhang
Zi Xu
463
1
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31 Jul 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Aras Selvi
Eleonora Kreacic
Mohsen Ghassemi
Vamsi K. Potluru
T. Balch
Manuela Veloso
618
2
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18 Jul 2024
Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift
Navid Hashemi
Lars Lindemann
Jyotirmoy V. Deshmukh
549
12
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16 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
Shangzhou Xia
375
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01 Jul 2024
Robust Reinforcement Learning from Corrupted Human Feedback
Alexander Bukharin
Ilgee Hong
Haoming Jiang
Zichong Li
Qingru Zhang
Zixuan Zhang
Tuo Zhao
413
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21 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
260
3
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05 Jun 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models
Jiongli Zhu
Su Feng
Boris Glavic
Babak Salimi
383
3
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28 May 2024
Taking a Moment for Distributional Robustness
Jabari Hastings
Christopher Jung
Charlotte Peale
Vasilis Syrgkanis
OOD
286
2
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08 May 2024
Automatic Outlier Rectification via Optimal Transport
Jose H. Blanchet
Jiajin Li
Markus Pelger
Greg Zanotti
251
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21 Mar 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
International Conference on Learning Representations (ICLR), 2024
Yingtian Zou
Kenji Kawaguchi
Yingnan Liu
Jiashuo Liu
Yang Deng
Wynne Hsu
281
13
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11 Mar 2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization
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Zusen Xu
Kim-Chuan Toh
Jia Jie Zhu
462
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08 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
Pablo Casas
Christophe Mues
Huan Yu
306
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02 Feb 2024
It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
Mohammad Reza Belbasi
Aras Selvi
W. Wiesemann
380
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19 Dec 2023
Robust Regression over Averaged Uncertainty
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Yu Ma
UQCV
274
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Outlier-Robust Wasserstein DRO
Neural Information Processing Systems (NeurIPS), 2023
Sloan Nietert
Ziv Goldfeld
Soroosh Shafiee
336
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Responsible AI (RAI) Games and Ensembles
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Yash Gupta
Runtian Zhai
A. Suggala
Pradeep Ravikumar
317
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Learning Optimal Classification Trees Robust to Distribution Shifts
Nathan Justin
S. Aghaei
Andrés Gómez
P. Vayanos
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An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
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Hui-Li Zhang
Zi Xu
ODL
300
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24 Oct 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
Neural Information Processing Systems (NeurIPS), 2023
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
434
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17 Oct 2023
Out-Of-Domain Unlabeled Data Improves Generalization
International Conference on Learning Representations (ICLR), 2023
Amir Saberi
Amir Najafi
Alireza Heidari
Mohammad Hosein Movasaghinia
Abolfazl Motahari
B. Khalaj
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454
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29 Sep 2023
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
Yuen-Man Pun
Farhad Farokhi
Iman Shames
249
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Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
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Jin Ye
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Unifying Distributionally Robust Optimization via Optimal Transport Theory
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Daniel Kuhn
Jiajin Li
Bahar Taşkesen
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Task-Robust Pre-Training for Worst-Case Downstream Adaptation
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Jianghui Wang
Cheng Yang
Xingyu Xie
Cong Fang
Zhouchen Lin
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Uncertainty-Aware Robust Learning on Noisy Graphs
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Optimal Transport Model Distributional Robustness
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Van-Anh Nguyen
Trung Le
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346
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Nonlinear Distributionally Robust Optimization
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356
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Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
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