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2004.07162
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On Linear Optimization over Wasserstein Balls
Mathematical programming (Math. Program.), 2020
15 April 2020
Man-Chung Yue
Daniel Kuhn
W. Wiesemann
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Papers citing
"On Linear Optimization over Wasserstein Balls"
24 / 24 papers shown
Distributionally Robust Deep Q-Learning
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Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
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A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
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Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
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214
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Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
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Eleonora Kreacic
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18 Jul 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space
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292
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16 Jul 2024
Automatic Outlier Rectification via Optimal Transport
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Jiajin Li
Markus Pelger
Greg Zanotti
251
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21 Mar 2024
Sampling from the Mean-Field Stationary Distribution
Annual Conference Computational Learning Theory (COLT), 2024
Yunbum Kook
Matthew Shunshi Zhang
Sinho Chewi
Murat A. Erdogdu
Mufan Li
542
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12 Feb 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Annual Conference Computational Learning Theory (COLT), 2023
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
710
18
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05 Dec 2023
A convergence result of a continuous model of deep learning via Łojasiewicz--Simon inequality
Noboru Isobe
363
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26 Nov 2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks
International Conference on Hybrid Systems: Computation and Control (HSCC), 2023
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OOD
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28 Aug 2023
Unifying Distributionally Robust Optimization via Optimal Transport Theory
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Daniel Kuhn
Jiajin Li
Bahar Taşkesen
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390
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10 Aug 2023
Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport
Mathematics of Operations Research (MOR), 2023
Yanqin Fan
Hyeonseok Park
Gaoqian Xu
338
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Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Soroosh Shafieezadeh-Abadeh
Liviu Aolaritei
Florian Dorfler
Daniel Kuhn
687
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07 Mar 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023
Shixiong Wang
Haowei Wang
Xinke Li
Jean Honorio
OOD
487
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0
31 Jan 2023
Distributional Robustness Bounds Generalization Errors
Shixiong Wang
Haowei Wang
OOD
437
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20 Dec 2022
Markov Decision Processes under Model Uncertainty
Mathematical Finance (Math. Finance), 2022
Ariel Neufeld
J. Sester
Mario Sikic
277
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13 Jun 2022
Distributionally Robust Fair Principal Components via Geodesic Descents
International Conference on Learning Representations (ICLR), 2022
Hieu Vu
Toan M. Tran
Man-Chung Yue
Viet Anh Nguyen
227
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07 Feb 2022
The Many Faces of Adversarial Risk
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Muni Sreenivas Pydi
Varun Jog
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Statistical Analysis of Wasserstein Distributionally Robust Estimators
Jose H. Blanchet
Karthyek Murthy
Viet Anh Nguyen
286
63
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Mixed Nash Equilibria in the Adversarial Examples Game
International Conference on Machine Learning (ICML), 2021
Laurent Meunier
M. Scetbon
Rafael Pinot
Jamal Atif
Y. Chevaleyre
AAML
255
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13 Feb 2021
Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
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Xin Zhang
Weiming Zhang
Anders Søgaard
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Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Operational Research (OR), 2020
Rui Gao
434
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09 Sep 2020
A Distributionally Robust Approach to Fair Classification
Bahar Taşkesen
Viet Anh Nguyen
Daniel Kuhn
Jose H. Blanchet
FaML
306
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18 Jul 2020
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