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
Wasserstein Distributionally Robust Nonparametric Regression Changyu Liu Yuling Jiao Junhui Wang Jian Huang OOD 34 0 0 12 May 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 71 0 0 24 Mar 2025
The Distributionally Robust Optimization Model of Sparse Principal Component Analysis Lei Wang Xin Liu Xiaojun Chen 49 0 0 04 Mar 2025
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 53 2 0 28 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 54 4 0 17 Jan 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 66 20 0 31 Dec 2024
Scalable Kernel Inverse Optimization Youyuan Long Tolga Ok Pedro Zattoni Scroccaro Peyman Mohajerin Esfahani 31 1 0 31 Oct 2024
$$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning$ $\texttt{skwdro}$ : a library for Wasserstein distributionally robust machine learning Florian Vincent Waïss Azizian F. Iutzeler J. Malick OOD 53 0 0 28 Oct 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 31 0 0 25 Oct 2024
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis Michael Ibrahim Heraldo Rozas N. Gebraeel Weijun Xie FedML OOD 33 0 0 04 Oct 2024
Wasserstein Distributionally Robust Multiclass Support Vector Machine Michael Ibrahim Heraldo Rozas N. Gebraeel 38 1 0 12 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 28 0 0 09 Aug 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 37 0 0 18 Jul 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions Sloan Nietert Ziv Goldfeld Soroosh Shafiee OOD 36 0 0 10 Jun 2024
Statistical Properties of Robust Satisficing Zhiyi Li Yunbei Xu Ruohan Zhan 27 0 0 30 May 2024
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set Man-Chung Yue Yves Rychener Daniel Kuhn Viet Anh Nguyen 33 1 0 30 May 2024
Automatic Outlier Rectification via Optimal Transport Jose H. Blanchet Jiajin Li Markus Pelger Greg Zanotti 32 3 0 21 Mar 2024
It's All in the Mix: Wasserstein Classification and Regression with Mixed Features Mohammad Reza Belbasi Aras Selvi W. Wiesemann 13 2 0 19 Dec 2023
Robust Regression over Averaged Uncertainty Dimitris Bertsimas Yu Ma UQCV 23 0 0 12 Nov 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks Yeshu Li Brian D. Ziebart OOD 40 0 0 10 Nov 2023
Outlier-Robust Wasserstein DRO Sloan Nietert Ziv Goldfeld Soroosh Shafiee 39 9 0 09 Nov 2023
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier Farzaneh Pourahmadi J. Kazempour 30 4 0 07 Oct 2023
Unifying Distributionally Robust Optimization via Optimal Transport Theory Jose H. Blanchet Daniel Kuhn Jiajin Li Bahar Taşkesen OT 26 13 0 10 Aug 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 20 32 0 28 Jun 2023
Smoothed $f$ -Divergence Distributionally Robust Optimization Zhen-Yan Liu Bart P. G. Van Parys H. Lam 23 6 0 24 Jun 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models Waïss Azizian F. Iutzeler J. Malick OOD 41 8 0 26 May 2023
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning Yiling Xie X. Huo 18 2 0 27 Mar 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 65 1 0 31 Jan 2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation Yuanlu Bai H. Lam Xinyu Zhang 31 4 0 03 Jan 2023
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 35 4 0 20 Dec 2022
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization Qinyu Wu Jonathan Li Tiantian Mao 19 11 0 12 Dec 2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 19 5 0 15 Oct 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems Ru Huang Jiawei Huang Wenjie Liu Huihua Ding 27 7 0 09 Oct 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints Jiajin Li Si-Jian Lin Jose H. Blanchet Viet Anh Nguyen OOD 47 11 0 04 Oct 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 29 4 0 24 Jun 2022
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees Verónica Álvarez Santiago Mazuelas Jose A. Lozano 9 5 0 31 May 2022
Robust online joint state/input/parameter estimation of linear systems Jean-Sébastien Brouillon Keith Moffat Florian Dorfler Giancarlo Ferrari-Trecate 12 4 0 12 Apr 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters Tim Tsz-Kit Lau Han Liu OOD 42 2 0 23 Mar 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 40 13 0 04 Mar 2022
Interpolation and Regularization for Causal Learning L. C. Vankadara Luca Rendsburg U. V. Luxburg D. Ghoshdastidar CML 31 1 0 18 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions Maurice Weber Linyi Li Wei Ping Zhikuan Zhao Bo-wen Li Ce Zhang OOD 29 14 0 03 Feb 2022
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 32 6 0 17 Jan 2022
Robust Linear Classification from Limited Training Data Deepayan Chakrabarti 11 2 0 04 Oct 2021
Distributionally Robust Multi-Output Regression Ranking Shahabeddin Sotudian Ruidi Chen I. Paschalidis OOD 25 2 0 27 Sep 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 46 35 0 24 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 25 65 0 20 Aug 2021
Statistical Analysis of Wasserstein Distributionally Robust Estimators Jose H. Blanchet Karthyek Murthy Viet Anh Nguyen 16 47 0 04 Aug 2021
Prescribing net demand for two-stage electricity generation scheduling J. Morales Miguel Angel Muñoz S. Pineda 21 14 0 02 Aug 2021
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization Yibo Zeng H. Lam 15 7 0 21 Jun 2021