Statistical Analysis of Wasserstein Distributionally Robust Estimators

4 August 2021

Papers citing "Statistical Analysis of Wasserstein Distributionally Robust Estimators"

12 / 12 papers shown

Title
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 53 2 0 28 Jan 2025
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 32 4 0 20 Oct 2023
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning Yiling Xie X. Huo 24 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
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 26 5 0 09 Jan 2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation Yuanlu Bai H. Lam Xinyu Zhang 34 4 0 03 Jan 2023
A Short and General Duality Proof for Wasserstein Distributionally Robust Optimization Luhao Zhang Jincheng Yang Rui Gao 29 6 0 30 Apr 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 19 14 0 07 Feb 2022
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 32 23 0 26 Nov 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 46 35 0 24 Sep 2021
On the regularized risk of distributionally robust learning over deep neural networks Camilo A. Garcia Trillos Nicolas García Trillos OOD 45 10 0 13 Sep 2021
Distributionally Robust Optimization: A Review Hamed Rahimian Sanjay Mehrotra 19 115 0 13 Aug 2019