Regularization via Mass Transportation

27 October 2017

Soroosh Shafieezadeh-Abadeh

Daniel Kuhn

Peyman Mohajerin Esfahani

OOD

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Papers citing "Regularization via Mass Transportation"

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Title
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 21 0 0 18 Jun 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information Tobias Sutter Andreas Krause Daniel Kuhn OOD 11 10 0 08 Jun 2021
Robust Hypothesis Testing with Wasserstein Uncertainty Sets Liyan Xie Rui Gao Yao Xie OOD 42 9 0 29 May 2021
Distributionally Robust Graph Learning from Smooth Signals under Moment Uncertainty Xiaolu Wang Yuen-Man Pun Anthony Man-Cho So OOD 13 6 0 12 May 2021
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization Yaodong Yu Tianyi Lin Eric Mazumdar Michael I. Jordan OOD 35 22 0 27 Apr 2021
Wasserstein Robust Classification with Fairness Constraints Yijie Wang Viet Anh Nguyen G. A. Hanasusanto OOD 25 10 0 11 Mar 2021
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution Bahar Taşkesen Soroosh Shafieezadeh-Abadeh Daniel Kuhn OT 16 23 0 10 Mar 2021
Online Optimization and Learning in Uncertain Dynamical Environments with Performance Guarantees Dan Li Dariush Fooladivanda Sonia Martínez 22 3 0 18 Feb 2021
Adversarially Robust Kernel Smoothing Jia-Jie Zhu Christina Kouridi Yassine Nemmour Bernhard Schölkopf 28 7 0 16 Feb 2021
Efficient Data-Driven Optimization with Noisy Data Bart P. G. Van Parys 14 3 0 08 Feb 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 14 33 0 08 Nov 2020
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine Jiajin Li Caihua Chen Anthony Man-Cho So OOD 38 22 0 24 Oct 2020
Minimax Classification with 0-1 Loss and Performance Guarantees Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 6 12 0 15 Oct 2020
Distributionally Robust Local Non-parametric Conditional Estimation Viet Anh Nguyen Fan Zhang Jose H. Blanchet Erick Delage Yinyu Ye OOD 14 26 0 12 Oct 2020
Distributionally Robust Parametric Maximum Likelihood Estimation Viet Anh Nguyen Xuhui Zhang Jose H. Blanchet A. Georghiou OOD 9 8 0 11 Oct 2020
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality Rui Gao 29 88 0 09 Sep 2020
Imbalanced Image Classification with Complement Cross Entropy Yechan Kim Younkwan Lee M. Jeon 12 63 0 04 Sep 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
Sensitivity analysis of Wasserstein distributionally robust optimization problems Daniel Bartl Samuel Drapeau J. Obłój J. Wiesel 19 36 0 22 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 32 162 0 16 Jun 2020
Kernel Distributionally Robust Optimization Jia Jie Zhu Wittawat Jitkrittum Moritz Diehl Bernhard Schölkopf 28 16 0 12 Jun 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization Ruidi Chen I. Paschalidis OOD 15 3 0 10 Jun 2020
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric Ruidi Chen I. Paschalidis OOD 16 4 0 10 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 22 21 0 08 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon Wonyoung Hedge Kim Joong-Ho Won M. Paik 14 12 0 05 Jun 2020
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity Nam Ho-Nguyen Stephen J. Wright OOD 48 16 0 28 May 2020
Distributional Robustness and Regularization in Reinforcement Learning E. Derman Shie Mannor 27 44 0 05 Mar 2020
Learning Cost Functions for Optimal Transport Shaojun Ma Haodong Sun X. Ye H. Zha Haomin Zhou OT 17 0 0 22 Feb 2020
A Distributionally Robust Area Under Curve Maximization Model Wenbo Ma M. Lejeune 10 10 0 18 Feb 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 18 20 0 11 Feb 2020
Incorporating Unlabeled Data into Distributionally Robust Learning Charlie Frogner Sebastian Claici Edward Chien Justin Solomon OOD 14 26 0 16 Dec 2019
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani 14 49 0 08 Nov 2019
A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression Jiajin Li Sen Huang Anthony Man-Cho So OOD 27 12 0 28 Oct 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh Man-Chung Yue Daniel Kuhn W. Wiesemann 11 29 0 23 Oct 2019
Wasserstein Diffusion Tikhonov Regularization A. Lin Yonatan Dukler Wuchen Li Guido Montúfar 13 2 0 15 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 25 389 0 23 Aug 2019
Distributionally Robust Optimization: A Review Hamed Rahimian Sanjay Mehrotra 16 115 0 13 Aug 2019
Distributionally Robust Formulation and Model Selection for the Graphical Lasso Pedro Cisneros-Velarde Sang-Yun Oh Alexander Petersen OOD 11 11 0 22 May 2019
Supervised classification via minimax probabilistic transformations Santiago Mazuelas Andrea Zanoni Aritz Pérez Martínez 13 2 0 02 Feb 2019
General Supervision via Probabilistic Transformations Santiago Mazuelas Aritz Pérez Martínez OOD 14 5 0 24 Jan 2019
Wasserstein Distributionally Robust Kalman Filtering Soroosh Shafieezadeh-Abadeh Viet Anh Nguyen Daniel Kuhn Peyman Mohajerin Esfahani 14 99 0 24 Sep 2018
Lipschitz Networks and Distributional Robustness Zac Cranko Simon Kornblith Zhan Shi Richard Nock OOD 16 11 0 04 Sep 2018
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator Viet Anh Nguyen Daniel Kuhn Peyman Mohajerin Esfahani 44 49 0 18 May 2018
Wasserstein Distributionally Robust Optimization and Variation Regularization Rui Gao Xi Chen A. Kleywegt OOD 16 130 0 17 Dec 2017
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric Ruidi Chen I. Paschalidis OOD 11 1 0 07 Jun 2017
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 8 330 0 18 Oct 2016