Stein Points

27 March 2018

W. Chen

Lester W. Mackey

Jackson Gorham

François‐Xavier Briol

Chris J. Oates

ArXiv PDF HTML

Papers citing "Stein Points"

39 / 39 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 92 2 0 26 Apr 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 108 0 0 24 Feb 2025
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 60 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 56 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 44 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 53 13 0 27 Jan 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 33 19 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 66 35 0 10 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 70 15 0 26 Sep 2022
Model predictivity assessment: incremental test-set selection and accuracy evaluation E. Fekhari Bertrand Iooss Joseph Muré L. Pronzato M. Rendas 32 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 50 2 0 21 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 45 30 0 04 Oct 2021
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 54 2 0 13 Sep 2021
Compressed Monte Carlo with application in particle filtering Luca Martino Victor Elvira 29 36 0 18 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 56 19 0 23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 41 4 0 23 Jun 2021
Kernel Stein Discrepancy Descent Anna Korba Pierre-Cyril Aubin-Frankowski Szymon Majewski Pierre Ablin 26 52 0 20 May 2021
Kernel Thinning Raaz Dwivedi Lester W. Mackey 57 39 0 12 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 36 35 0 07 May 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 34 18 0 30 Mar 2021
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy L. Pronzato 48 15 0 19 Jan 2021
SPlit: An Optimal Method for Data Splitting V. R. Joseph Akhil Vakayil 30 128 0 20 Dec 2020
Stochastic Stein Discrepancies Jackson Gorham Anant Raj Lester W. Mackey 35 37 0 06 Jul 2020
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 29 46 0 08 May 2020
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 68 69 0 09 Feb 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 45 27 0 25 Jan 2020
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 38 91 0 19 Jun 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods Motonobu Kanagawa Philipp Hennig 23 35 0 24 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 37 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 51 56 0 09 May 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang-Shu Liu Jingwei Zhuo Jun Zhu 33 22 0 01 Feb 2019
Understanding and Accelerating Particle-Based Variational Inference Chang-rui Liu Jingwei Zhuo Pengyu Cheng Ruiyi Zhang Jun Zhu Lawrence Carin 36 14 0 04 Jul 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 75 115 0 08 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 64 45 0 07 Jun 2018
Bayesian posterior approximation via greedy particle optimization Futoshi Futami Zhenghang Cui Issei Sato Masashi Sugiyama 40 22 0 21 May 2018
Fisher Efficient Inference of Intractable Models Song Liu Takafumi Kanamori Wittawat Jitkrittum Yu Chen 42 14 0 18 May 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 35 45 0 01 Sep 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 91 223 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 123 325 0 09 Feb 2016