A Kernel Two-Sample Test for Functional Data

A Kernel Two-Sample Test for Functional Data

25 August 2020

Andrew B. Duncan

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 Zacharia Issa Blanka Horvath M. Lemercier C. Salvi AI4TS 45 24 0 25 May 2023
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 Xu Wang Dezhong Peng Ming Yan Peng Hu 25 19 0 13 Feb 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 37 10 0 28 Oct 2022
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 George Wynne Mikolaj Kasprzak Andrew B. Duncan 32 4 0 09 Jun 2022
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 Hoseung Song Hao Chen 27 3 0 07 Oct 2021
Unbiased estimators for the variance of MMD estimators Danica J. Sutherland Namrata Deka 31 11 0 05 Jun 2019