Learning Kernel Tests Without Data Splitting

3 June 2020

Papers citing "Learning Kernel Tests Without Data Splitting"

23 / 23 papers shown

Title
Compress Then Test: Powerful Kernel Testing in Near-linear Time Carles Domingo-Enrich Raaz Dwivedi Lester W. Mackey 84 10 0 14 Jan 2023
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 39 184 0 21 Feb 2020
Kernel Stein Tests for Multiple Model Comparison Jen Ning Lim M. Yamada Bernhard Schölkopf Wittawat Jitkrittum 37 13 0 27 Oct 2019
Two-sample Testing Using Deep Learning Matthias Kirchler S. Khorasani Marius Kloft C. Lippert 45 38 0 14 Oct 2019
Classification Logit Two-sample Testing by Neural Networks Xiuyuan Cheng A. Cloninger 58 32 0 25 Sep 2019
$Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing$ Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing M. Scetbon Gaël Varoquaux 52 10 0 19 Sep 2019
Two-Sample Test Based on Classification Probability H. Cai Bryan Goggin Qingtang Jiang OOD 56 14 0 17 Sep 2019
Informative Features for Model Comparison Wittawat Jitkrittum Heishiro Kanagawa Patsorn Sangkloy James Hays Bernhard Schölkopf Arthur Gretton 52 27 0 27 Oct 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator M. Yamada Denny Wu Yao-Hung Hubert Tsai Ichiro Takeuchi Ruslan Salakhutdinov Kenji Fukumizu 81 20 0 17 Feb 2018
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 721 0 24 May 2017
A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum Wenkai Xu Z. Szabó Kenji Fukumizu Arthur Gretton 62 104 0 22 May 2017
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 100 260 0 14 Nov 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 147 401 0 20 Oct 2016
An Adaptive Test of Independence with Analytic Kernel Embeddings Wittawat Jitkrittum Z. Szabó Arthur Gretton 75 46 0 15 Oct 2016
Post Selection Inference with Kernels M. Yamada Yuta Umezu Kenji Fukumizu Ichiro Takeuchi 50 28 0 12 Oct 2016
Interpretable Distribution Features with Maximum Testing Power Wittawat Jitkrittum Z. Szabó Kacper P. Chwialkowski Arthur Gretton 51 135 0 22 May 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 98 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 185 328 0 09 Feb 2016
Classification accuracy as a proxy for two sample testing Ilmun Kim Aaditya Ramdas Aarti Singh Larry A. Wasserman 54 76 0 06 Feb 2016
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 98 846 0 10 Feb 2015
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 232 337 0 09 Oct 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 207 732 0 25 Nov 2013
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 200 744 0 30 Jul 2009