Confidence Regions in Wasserstein Distributionally Robust Estimation

Confidence Regions in Wasserstein Distributionally Robust Estimation

4 June 2019

Jose H. Blanchet

Karthyek Murthy

Papers citing "Confidence Regions in Wasserstein Distributionally Robust Estimation"

12 / 12 papers shown

Title
Wasserstein Distributionally Robust Nonparametric Regression Changyu Liu Yuling Jiao Junhui Wang Jian Huang OOD 34 0 0 12 May 2025
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 56 2 0 28 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
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
$Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation$ Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$ -Perturbation Yiling Xie Xiaoming Huo 36 2 0 27 Jan 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning Yiling Xie X. Huo 24 2 0 27 Mar 2023
Statistical Limit Theorems in Distributionally Robust Optimization Jose H. Blanchet A. Shapiro 36 13 0 27 Mar 2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation Yuanlu Bai Henry Lam Xinyu Zhang 34 4 0 03 Jan 2023
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 46 35 0 24 Sep 2021
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 40 23 0 11 Mar 2020
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 19 330 0 18 Oct 2016