Minimum Stein Discrepancy Estimators

19 June 2019

Alessandro Barp

François‐Xavier Briol

Andrew B. Duncan

Mark Girolami

Lester W. Mackey

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Papers citing "Minimum Stein Discrepancy Estimators"

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Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 75 4 0 11 Aug 2024
Informed Correctors for Discrete Diffusion Models Yixiu Zhao Jiaxin Shi Lester W. Mackey Scott W. Linderman Lester Mackey Scott Linderman 44 9 0 30 Jul 2024
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 18 10 0 01 Nov 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications Xiaoda Qu Xiran Fan B. Vemuri 32 0 0 21 May 2023
Robust and Scalable Bayesian Online Changepoint Detection Matias Altamirano F. Briol Jeremias Knoblauch 25 12 0 09 Feb 2023
Minimum Kernel Discrepancy Estimators Chris J. Oates 24 10 0 28 Oct 2022
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 21 9 0 19 Oct 2022
Statistical Efficiency of Score Matching: The View from Isoperimetry Frederic Koehler Alexander Heckett Andrej Risteski DiffM 102 50 0 03 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 42 14 0 26 Sep 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 28 25 0 20 Mar 2022
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 24 14 0 19 Nov 2021
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 23 9 0 28 Oct 2021
Interpreting diffusion score matching using normalizing flow Wenbo Gong Yingzhen Li DiffM 19 13 0 21 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 45 19 0 23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 32 4 0 23 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 G. Reinert Yvik Swan 22 35 0 07 May 2021
A Unifying and Canonical Description of Measure-Preserving Diffusions Alessandro Barp So Takao M. Betancourt Alexis Arnaudon Mark Girolami 20 17 0 06 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 24 74 0 15 Apr 2021
Foundations of Bayesian Learning from Synthetic Data H. Wilde Jack Jewson Sebastian J. Vollmer Chris Holmes 17 15 0 16 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 23 25 0 04 Nov 2020
Robust Bayesian Inference for Discrete Outcomes with the Total Variation Distance Jeremias Knoblauch Lara Vomfell 28 7 0 26 Oct 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Fisher Efficient Inference of Intractable Models Song Liu Takafumi Kanamori Wittawat Jitkrittum Yu Chen 21 14 0 18 May 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 104 324 0 09 Feb 2016