MMD Aggregated Two-Sample Test

28 October 2021

Papers citing "MMD Aggregated Two-Sample Test"

23 / 23 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 52 0 0 08 May 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Feng Liu 87 0 0 30 Nov 2024
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 45 1 0 17 Oct 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 86 4 0 11 Aug 2024
Robust Kernel Hypothesis Testing under Data Corruption Antonin Schrab Ilmun Kim 48 3 0 30 May 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 54 1 0 24 May 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 38 13 0 06 Feb 2024
Spectral Regularized Kernel Goodness-of-Fit Tests Omar Hagrass Bharath K. Sriperumbudur Bing Li 41 3 0 08 Aug 2023
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments Meijia Shao Dong Xia Yuan Zhang 39 2 0 06 Jun 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 34 1 0 05 Mar 2023
Boosting the Power of Kernel Two-Sample Tests Anirban Chatterjee B. Bhattacharya 40 3 0 21 Feb 2023
Spectral Regularized Kernel Two-Sample Tests Omar Hagrass Bharath K. Sriperumbudur Bing Li 19 14 0 19 Dec 2022
Dynamic Interpretable Change Point Detection Kopal Garg Jennifer Yu Tina Behrouzi S. Tonekaboni Anna Goldenberg AI4TS 34 0 0 08 Nov 2022
A uniform kernel trick for high-dimensional two-sample problems Javier Cárcamo Antonio Cuevas Luis-Alberto Rodríguez 41 3 0 05 Oct 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 32 15 0 17 Jun 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 31 1 0 28 May 2022
Discovering Distribution Shifts using Latent Space Representations Leo Betthauser Urszula Chajewska M. Diesendruck Rohith Pesala OOD 41 5 0 04 Feb 2022
KSD Aggregated Goodness-of-fit Test Antonin Schrab Benjamin Guedj Arthur Gretton 52 17 0 02 Feb 2022
Local permutation tests for conditional independence Ilmun Kim Matey Neykov Sivaraman Balakrishnan Larry A. Wasserman 31 27 0 22 Dec 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 39 14 0 19 Nov 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 612 0 13 Mar 2020
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 112 325 0 09 Feb 2016