On the rate of convergence in Wasserstein distance of the empirical measure

7 December 2013

Papers citing "On the rate of convergence in Wasserstein distance of the empirical measure"

14 / 14 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 38 0 0 26 May 2025
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning Hui Ma Kai Yang Yang Jiao OOD 86 0 0 25 May 2025
Bayesian Density-Density Regression with Application to Cell-Cell Communications Khai Nguyen Yang Ni Peter Mueller 43 0 0 17 Apr 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 133 1 0 13 Mar 2025
Bandit Optimal Transport Lorenzo Croissant 97 0 0 11 Feb 2025
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 81 2 0 28 Jan 2025
Distributionally Robust Optimization Daniel Kuhn Soroosh Shafiee W. Wiesemann 62 0 0 04 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 51 0 0 31 Oct 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 106 0 0 31 Aug 2024
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 90 0 0 01 Jul 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 69 5 0 30 Jun 2024
Robust Point Matching with Distance Profiles Y. Hur Y. Khoo 34 0 0 19 Dec 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity Shixiong Wang Haowei Wang Xinke Li Jean Honorio OOD 75 1 0 31 Jan 2023
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks Andrea Montanari Kangjie Zhou 46 2 0 14 Jun 2022