Stein Points

27 March 2018

W. Chen

Lester W. Mackey

Jackson Gorham

François‐Xavier Briol

Chris J. Oates

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Papers citing "Stein Points"

27 / 27 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 78 1 0 26 Apr 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 92 0 0 24 Feb 2025
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 46 1 0 12 Jun 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 24 5 0 27 Dec 2023
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems Atsushi Nitanda Kazusato Oko Denny Wu Nobuhito Takenouchi Taiji Suzuki 29 3 0 06 Mar 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 40 12 0 27 Jan 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 28 18 0 17 Nov 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 61 33 0 10 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 48 14 0 26 Sep 2022
Model predictivity assessment: incremental test-set selection and accuracy evaluation E. Fekhari Bertrand Iooss Joseph Muré L. Pronzato M. Rendas 8 13 0 08 Jul 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel Yindong Chen Yiwei Wang Lulu Kang Chun Liu 21 1 0 21 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 36 29 0 04 Oct 2021
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 30 2 0 13 Sep 2021
Compressed Monte Carlo with application in particle filtering Luca Martino Victor Elvira 21 36 0 18 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
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 19 50 0 20 May 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 22 35 0 07 May 2021
SPlit: An Optimal Method for Data Splitting V. R. Joseph Akhil Vakayil 17 124 0 20 Dec 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 32 27 0 25 Jan 2020
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 30 90 0 19 Jun 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 24 9 0 14 May 2019
Stein Point Markov Chain Monte Carlo W. Chen Alessandro Barp François‐Xavier Briol Jackson Gorham Mark Girolami Lester W. Mackey Chris J. Oates 30 56 0 09 May 2019
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 29 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 107 324 0 09 Feb 2016