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Hierarchical Integral Probability Metrics: A distance on random
  probability measures with low sample complexity

Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity

1 February 2024
Marta Catalano
Hugo Lavenant
ArXivPDFHTML

Papers citing "Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity"

5 / 5 papers shown
Title
Integral Imprecise Probability Metrics
Integral Imprecise Probability Metrics
Siu Lun Chau
Michele Caprio
Krikamol Muandet
61
0
0
22 May 2025
Predictive Coresets
Predictive Coresets
Bernardo Flores
71
0
0
08 Feb 2025
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
118
202
0
07 Feb 2020
Max-Sliced Wasserstein Distance and its use for GANs
Max-Sliced Wasserstein Distance and its use for GANs
Ishani Deshpande
Yuan-Ting Hu
Ruoyu Sun
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Zhizhen Zhao
David A. Forsyth
Alex Schwing
GAN
26
200
0
11 Apr 2019
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
134
417
0
01 Jul 2017
1