Statistical Analysis of Wasserstein Distributionally Robust Estimators

4 August 2021

Papers citing "Statistical Analysis of Wasserstein Distributionally Robust Estimators"

8 / 8 papers shown

Title
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 50 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
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 16 5 0 09 Jan 2023
A Distributionally Robust Optimization Framework for Extreme Event Estimation Yuanlu Bai H. Lam Xinyu Zhang 20 4 0 03 Jan 2023
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 22 22 0 26 Nov 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 43 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 37 10 0 13 Sep 2021