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Two-sample Testing Using Deep Learning

14 October 2019

Papers citing "Two-sample Testing Using Deep Learning"

23 / 23 papers shown

Title
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Feng Liu 119 0 0 30 Nov 2024
Deep Nonparametric Conditional Independence Tests for Images Marco Simnacher Xiangnan Xu Hani Park Christoph Lippert Sonja Greven 70 1 0 09 Nov 2024
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 93 1 0 17 Oct 2024
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study Petr Philonenko S. Postovalov 69 0 0 12 Sep 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 124 1 0 24 May 2024
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 145 1 0 02 Oct 2023
Some notes concerning a generalized KMM-type optimization method for density ratio estimation C. Alecsa 18 0 0 14 Sep 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting Felix Biggs Antonin Schrab Arthur Gretton 95 21 0 14 Jun 2023
Variable Selection for Kernel Two-Sample Tests Jie Wang Santanu S. Dey Yao Xie 77 5 0 15 Feb 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 145 10 0 14 Jan 2023
Two-sample test based on Self-Organizing Maps A. Álvarez-Ayllón M. Palomo-duarte J. Dodero 49 0 0 17 Dec 2022
E-Valuating Classifier Two-Sample Tests T. Pandeva Tim Bakker C. A. Naesseth Patrick Forré 78 12 0 24 Oct 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 75 17 0 17 Jun 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 58 2 0 07 Feb 2022
A Fast and Effective Large-Scale Two-Sample Test Based on Kernels Hoseung Song Hao Chen 58 3 0 07 Oct 2021
Explainability Requires Interactivity Matthias Kirchler M. Graf Marius Kloft C. Lippert FAtt AAML HAI 51 1 0 16 Sep 2021
Test for non-negligible adverse shifts Vathy M. Kamulete 77 4 0 07 Jul 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 84 24 0 14 Jun 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 119 59 0 23 Apr 2021
A Witness Two-Sample Test Jonas M. Kubler Wittawat Jitkrittum Bernhard Schölkopf Krikamol Muandet 99 20 0 10 Feb 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 95 58 0 22 Oct 2020
Learning Kernel Tests Without Data Splitting Jonas M. Kubler Wittawat Jitkrittum Bernhard Schölkopf Krikamol Muandet 77 24 0 03 Jun 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 92 189 0 21 Feb 2020