Measuring Sample Quality with Stein's Method

9 June 2015

Papers citing "Measuring Sample Quality with Stein's Method"

44 / 44 papers shown

Title
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 87 0 0 24 Feb 2025
Sequential Kernelized Stein Discrepancy Diego Martinez-Taboada Aaditya Ramdas 33 0 0 26 Sep 2024
On the Robustness of Kernel Goodness-of-Fit Tests Xing Liu F. Briol OOD 64 4 0 11 Aug 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 33 1 0 12 Jun 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 54 1 0 31 May 2024
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 23 0 0 23 Nov 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications Xiaoda Qu Xiran Fan B. Vemuri 27 0 0 21 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 19 2 0 25 Apr 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
Are you using test log-likelihood correctly? Sameer K. Deshpande Soumya K. Ghosh Tin D. Nguyen Tamara Broderick 19 7 0 01 Dec 2022
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 23 18 0 17 Nov 2022
A kernel Stein test of goodness of fit for sequential models Jerome Baum Heishiro Kanagawa A. Gretton 16 9 0 19 Oct 2022
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 40 14 0 26 Sep 2022
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 15 8 0 06 Dec 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key A. Gretton F. Briol T. Fernandez 22 14 0 19 Nov 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 28 13 0 03 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 34 29 0 04 Oct 2021
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 23 2 0 13 Sep 2021
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 14 153 0 25 Jul 2021
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 9 4 0 20 Jul 2021
Sampling with Mirrored Stein Operators Jiaxin Shi Chang-rui Liu Lester W. Mackey 37 19 0 23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit Wenkai Xu 27 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 12 17 0 06 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 19 74 0 15 Apr 2021
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 13 34 0 23 Aug 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 20 23 0 20 May 2020
Convergence diagnostics for Markov chain Monte Carlo Vivekananda Roy 13 216 0 26 Sep 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 14 135 0 16 Jul 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 17 90 0 19 Jun 2019
Estimating Convergence of Markov chains with L-Lag Couplings N. Biswas Pierre E. Jacob Paul Vanetti 17 47 0 23 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 22 56 0 09 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 11 155 0 03 Apr 2019
Random Feature Stein Discrepancies Jonathan H. Huggins Lester W. Mackey 19 45 0 20 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 9 90 0 07 Jun 2018
Sobolev Descent Youssef Mroueh Tom Sercu Anant Raj OT 8 1 0 30 May 2018
Fisher Efficient Inference of Intractable Models Song Liu Takafumi Kanamori Wittawat Jitkrittum Yu Chen 21 14 0 18 May 2018
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 25 117 0 06 Nov 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 19 1,067 0 16 Aug 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu J. Lee Michael I. Jordan 11 475 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 99 324 0 09 Feb 2016
Stein's method for comparison of univariate distributions Christophe Ley G. Reinert Yvik Swan OT 27 149 0 13 Aug 2014
Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly A. S. Keys Dimitris Arabadjis C. Iacovella Panayiotis Rousopoulos S. Glotzer Michail Panagopoulos Lena Papazoglou-Manioudaki 3DV 45 134 0 10 Oct 2012
MCMC using Hamiltonian dynamics Radford M. Neal 167 3,260 0 09 Jun 2012