ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1509.02237
  4. Cited By
On Wasserstein Two Sample Testing and Related Families of Nonparametric
  Tests

On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests

8 September 2015
Aaditya Ramdas
Nicolas García Trillos
Marco Cuturi
ArXivPDFHTML

Papers citing "On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests"

14 / 14 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
50
0
0
26 May 2025
Quantum-Inspired Optimization Process for Data Imputation
Quantum-Inspired Optimization Process for Data Imputation
Nishikanta Mohanty
B. Behera
Badsah Mukherjee
Christopher Ferrie
26
0
0
07 May 2025
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
Kisung You
Yelim Lee
Hae-Jeong Park
58
0
0
31 Mar 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Nina Vesseron
Louis Béthune
Marco Cuturi
96
0
0
13 Mar 2025
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
89
2
0
28 Jan 2025
Privacy Vulnerabilities in Marginals-based Synthetic Data
Privacy Vulnerabilities in Marginals-based Synthetic Data
Steven Golob
Sikha Pentyala
Anuar Maratkhan
Martine De Cock
36
3
0
07 Oct 2024
On a Neural Implementation of Brenier's Polar Factorization
On a Neural Implementation of Brenier's Polar Factorization
Nina Vesseron
Marco Cuturi
78
2
0
05 Mar 2024
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
109
5
0
16 Dec 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M. Khamlich
F. Pichi
G. Rozza
48
4
0
26 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas
Allan D. Jepson
Amir-massoud Farahmand
OT
62
3
0
17 Jul 2023
Sinkhorn Divergences for Unbalanced Optimal Transport
Sinkhorn Divergences for Unbalanced Optimal Transport
Thibault Séjourné
Jean Feydy
Franccois-Xavier Vialard
A. Trouvé
Gabriel Peyré
OT
59
74
0
28 Oct 2019
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
135
4,210
0
04 Jun 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
148
681
0
25 Jul 2012
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
169
2,352
0
15 May 2008
1