Composite Goodness-of-fit Tests with Kernels

19 November 2021

Papers citing "Composite Goodness-of-fit Tests with Kernels"

46 / 46 papers shown

Title
Cost-aware Simulation-based Inference Ayush Bharti Daolang Huang Samuel Kaski F. Briol 67 2 0 10 Oct 2024
Sequential Kernelized Stein Discrepancy Diego Martinez-Taboada Aaditya Ramdas 97 0 0 26 Sep 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 97 5 0 11 Aug 2024
Practical Kernel Tests of Conditional Independence Roman Pogodin Antonin Schrab Yazhe Li Danica J. Sutherland Arthur Gretton 72 5 0 20 Feb 2024
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 53 1 0 05 Mar 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 62 15 0 27 Jan 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 51 10 0 28 Oct 2022
Efficient Aggregated Kernel Tests using Incomplete $U$ -statistics Antonin Schrab Ilmun Kim Benjamin Guedj Arthur Gretton 61 30 0 18 Jun 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 68 43 0 09 Feb 2022
KSD Aggregated Goodness-of-fit Test Antonin Schrab Benjamin Guedj Arthur Gretton 68 19 0 02 Feb 2022
MMD Aggregated Two-Sample Test Antonin Schrab Ilmun Kim Mélisande Albert Béatrice Laurent Benjamin Guedj Arthur Gretton 58 58 0 28 Oct 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 61 13 0 22 Jun 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates Gesine Reinert Yvik Swan 75 35 0 07 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 48 79 0 15 Apr 2021
A Stein Goodness of fit Test for Exponential Random Graph Models Wenkai Xu Gesine Reinert 46 5 0 28 Feb 2021
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 59 34 0 23 Aug 2020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data T. Fernandez Nicolás Rivera Wenkai Xu Arthur Gretton 43 15 0 19 Aug 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 53 37 0 30 Jun 2020
On combining the zero bias transform and the empirical characteristic function to test normality B. Ebner 28 8 0 27 Feb 2020
Testing Goodness of Fit of Conditional Density Models with Kernels Wittawat Jitkrittum Heishiro Kanagawa Bernhard Schölkopf 45 28 0 24 Feb 2020
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 169 851 0 04 Nov 2019
Kernel Stein Tests for Multiple Model Comparison Jen Ning Lim M. Yamada Bernhard Schölkopf Wittawat Jitkrittum 39 13 0 27 Oct 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 150 74 0 29 Sep 2019
Minimum $L^q$ -distance estimators for non-normalized parametric models Steffen Betsch B. Ebner B. Klar 44 9 0 30 Aug 2019
A Kernel Stein Test for Comparing Latent Variable Models Heishiro Kanagawa Wittawat Jitkrittum Lester W. Mackey Kenji Fukumizu Arthur Gretton 43 13 0 01 Jul 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 58 92 0 19 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 51 72 0 13 Jun 2019
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 50 74 0 20 Nov 2018
Informative Features for Model Comparison Wittawat Jitkrittum Heishiro Kanagawa Patsorn Sangkloy James Hays Bernhard Schölkopf Arthur Gretton 56 27 0 27 Oct 2018
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 722 0 24 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 108 260 0 14 Nov 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 40 62 0 14 Jun 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 100 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 195 328 0 09 Feb 2016
A Test of Relative Similarity For Model Selection in Generative Models Wacha Bounliphone Eugene Belilovsky Matthew B. Blaschko Ioannis Antonoglou Arthur Gretton 55 78 0 14 Nov 2015
A One-Sample Test for Normality with Kernel Methods Jérémie Kellner Alain Celisse 37 18 0 10 Jul 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 98 225 0 09 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
Sequential Monte Carlo with Adaptive Weights for Approximate Bayesian Computation Fernando V. Bonassi M. West 224 73 0 26 Mar 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 105 847 0 10 Feb 2015
Control Functionals for Quasi-Monte Carlo Integration Chris J. Oates Mark Girolami 70 27 0 14 Jan 2015
A Wild Bootstrap for Degenerate Kernel Tests Kacper P. Chwialkowski Dino Sejdinovic Arthur Gretton 63 56 0 23 Aug 2014
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 213 685 0 25 Jul 2012
Goodness-of-fit testing based on a weighted bootstrap: A fast large-sample alternative to the parametric bootstrap I. Kojadinovic Jun Yan 66 50 0 25 Feb 2012
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 208 744 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,357 0 15 May 2008