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A Kernel Two-Sample Test for Functional Data

A Kernel Two-Sample Test for Functional Data

25 August 2020
George Wynne
Andrew B. Duncan
ArXivPDFHTML

Papers citing "A Kernel Two-Sample Test for Functional Data"

9 / 9 papers shown
Title
Non-adversarial training of Neural SDEs with signature kernel scores
Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa
Blanka Horvath
M. Lemercier
C. Salvi
AI4TS
48
24
0
25 May 2023
Variational Autoencoding Neural Operators
Variational Autoencoding Neural Operators
Jacob H. Seidman
Georgios Kissas
George J. Pappas
P. Perdikaris
DRL
AI4CE
32
7
0
20 Feb 2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image
  Retrieval
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Xu Wang
Dezhong Peng
Ming Yan
Peng Hu
25
19
0
13 Feb 2023
Minimum Kernel Discrepancy Estimators
Minimum Kernel Discrepancy Estimators
Chris J. Oates
37
10
0
28 Oct 2022
A uniform kernel trick for high-dimensional two-sample problems
A uniform kernel trick for high-dimensional two-sample problems
Javier Cárcamo
Antonio Cuevas
Luis-Alberto Rodríguez
43
3
0
05 Oct 2022
A Fourier representation of kernel Stein discrepancy with application to
  Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
George Wynne
Mikolaj Kasprzak
Andrew B. Duncan
32
4
0
09 Jun 2022
MMD Aggregated Two-Sample Test
MMD Aggregated Two-Sample Test
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
29
56
0
28 Oct 2021
A Fast and Effective Large-Scale Two-Sample Test Based on Kernels
A Fast and Effective Large-Scale Two-Sample Test Based on Kernels
Hoseung Song
Hao Chen
32
3
0
07 Oct 2021
Unbiased estimators for the variance of MMD estimators
Unbiased estimators for the variance of MMD estimators
Danica J. Sutherland
Namrata Deka
31
11
0
05 Jun 2019
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