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

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

N. Fournier
Arnaud Guillin
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Papers citing "On the rate of convergence in Wasserstein distance of the empirical measure"

15 / 15 papers shown
Title
Kernel Quantile Embeddings and Associated Probability Metrics
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
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
Hui Ma
Kai Yang
Yang Jiao
OOD
101
0
0
25 May 2025
Bayesian Density-Density Regression with Application to Cell-Cell Communications
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
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill
Josh Bone
A. Masoomi
Max Torop
Jennifer Dy
143
1
0
13 Mar 2025
Bandit Optimal Transport
Bandit Optimal Transport
Lorenzo Croissant
100
0
0
11 Feb 2025
Universal generalization guarantees for Wasserstein distributionally robust models
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le
Jérome Malick
OOD
81
2
0
28 Jan 2025
Distributionally Robust Optimization
Distributionally Robust Optimization
Daniel Kuhn
Soroosh Shafiee
W. Wiesemann
62
0
0
04 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications
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
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
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
Particle Semi-Implicit Variational Inference
Jen Ning Lim
A. M. Johansen
69
6
0
30 Jun 2024
Robust Point Matching with Distance Profiles
Robust Point Matching with Distance Profiles
Y. Hur
Y. Khoo
36
0
0
19 Dec 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Shixiong Wang
Haowei Wang
Xinke Li
Jean Honorio
OOD
77
1
0
31 Jan 2023
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
Andrea Montanari
Kangjie Zhou
46
2
0
14 Jun 2022
Simple bounds for the convergence of empirical and occupation measures in 1-Wasserstein distance
Simple bounds for the convergence of empirical and occupation measures in 1-Wasserstein distance
Emmanuel Boissard
79
75
0
16 Mar 2011