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Interpretable Distribution Features with Maximum Testing Power

22 May 2016

Wittawat Jitkrittum

Z. Szabó

Kacper P. Chwialkowski

Arthur Gretton

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Papers citing "Interpretable Distribution Features with Maximum Testing Power"

47 / 47 papers shown

Title
Topological Signatures of Adversaries in Multimodal Alignments Minh Vu Geigh Zollicoffer Huy Mai B. Nebgen Boian S. Alexandrov Manish Bhattarai AAML 122 1 0 29 Jan 2025
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 93 1 0 17 Oct 2024
Learning Representations for Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 103 0 0 10 Sep 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 114 1 0 12 Jun 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 124 1 0 24 May 2024
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 72 5 0 16 Jun 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
A Permutation-free Kernel Two-Sample Test S. Shekhar Ilmun Kim Aaditya Ramdas 77 24 0 27 Nov 2022
Controlling Moments with Kernel Stein Discrepancies Heishiro Kanagawa Alessandro Barp Arthur Gretton Lester W. Mackey 82 9 0 10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 104 13 0 09 Nov 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 85 18 0 21 Oct 2022
Efficient Aggregated Kernel Tests using Incomplete $U$ -statistics Antonin Schrab Ilmun Kim Benjamin Guedj Arthur Gretton 111 31 0 18 Jun 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 75 17 0 17 Jun 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models Wenkai Xu Gesine Reinert SyDa 81 3 0 31 May 2022
MMD Aggregated Two-Sample Test Antonin Schrab Ilmun Kim Mélisande Albert Béatrice Laurent Benjamin Guedj Arthur Gretton 113 58 0 28 Oct 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 50 11 0 28 Oct 2021
A Fast and Effective Large-Scale Two-Sample Test Based on Kernels Hoseung Song Hao Chen 58 3 0 07 Oct 2021
Kernel distance measures for time series, random fields and other structured data Srinjoy Das H. Mhaskar A. Cloninger 38 3 0 29 Sep 2021
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis Christopher J. Urban Daniel J. Bauer CML 66 1 0 20 Sep 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
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning Seng Pei Liew Tsubasa Takahashi Michihiko Ueno FedML 74 29 0 08 Jun 2021
Human-in-the-loop Handling of Knowledge Drift A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 42 7 0 27 Mar 2021
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples Yixing Zhang Xiuyuan Cheng Galen Reeves OT 61 10 0 28 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 84 20 0 12 Feb 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
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations Anjin Liu Jie Lu Guangquan Zhang 155 15 0 09 Aug 2020
Learning Kernel Tests Without Data Splitting Jonas M. Kubler Wittawat Jitkrittum Bernhard Schölkopf Krikamol Muandet 77 24 0 03 Jun 2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression Domagoj Cevid Loris Michel Jeffrey Näf N. Meinshausen Peter Buhlmann 96 43 0 29 May 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
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi Zhou 150 25 0 20 Jan 2020
Two-sample Testing Using Deep Learning Matthias Kirchler S. Khorasani Marius Kloft C. Lippert 84 38 0 14 Oct 2019
Classification Logit Two-sample Testing by Neural Networks Xiuyuan Cheng A. Cloninger 89 33 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 61 10 0 19 Sep 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 71 8 0 27 May 2019
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees Arash Mehrjou Wittawat Jitkrittum Krikamol Muandet Bernhard Schölkopf GAN 28 4 0 26 Jan 2019
Signature moments to characterize laws of stochastic processes I. Chevyrev Harald Oberhauser 407 112 0 25 Oct 2018
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 87 78 0 14 Sep 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 101 40 0 22 May 2018
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests Krishnakumar Balasubramanian Tong Li M. Yuan 67 28 0 24 Sep 2017
Two-sample Statistics Based on Anisotropic Kernels Xiuyuan Cheng A. Cloninger Ronald R. Coifman 110 18 0 14 Sep 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 93 596 0 26 May 2017
A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum Wenkai Xu Z. Szabó Kenji Fukumizu Arthur Gretton 90 104 0 22 May 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 230 407 0 20 Oct 2016
An Adaptive Test of Independence with Analytic Kernel Embeddings Wittawat Jitkrittum Z. Szabó Arthur Gretton 113 47 0 15 Oct 2016
Sketching for Large-Scale Learning of Mixture Models Nicolas Keriven Anthony Bourrier Rémi Gribonval Patrick Pérez 76 75 0 09 Jun 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 155 749 0 31 May 2016