v1v2v3v4 (latest)

Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference

27 January 2023

Papers citing "Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference"

47 / 47 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 70 0 0 26 May 2025
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Charita Dellaporta Jeremias Knoblauch Theodoros Damoulas F. Briol 74 45 0 09 Feb 2022
Approximate Bayesian Computation with Domain Expert in the Loop Ayush Bharti Louis Filstroff Samuel Kaski TPM 103 9 0 28 Jan 2022
ProbNum: Probabilistic Numerics in Python Jonathan Wenger Nicholas Kramer Marvin Pfortner Jonathan Schmidt Nathanael Bosch ... A. Gessner Toni Karvonen F. Briol Maren Mahsereci Philipp Hennig 89 17 0 03 Dec 2021
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 86 16 0 19 Nov 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 68 13 0 22 Jun 2021
Kernel Thinning Raaz Dwivedi Lester W. Mackey 168 39 0 12 May 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 415 33 0 12 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 259 198 0 12 Jan 2021
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 76 16 0 01 Jun 2020
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 62 47 0 08 May 2020
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness George Wynne F. Briol Mark Girolami 65 56 0 29 Jan 2020
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 190 854 0 04 Nov 2019
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 161 75 0 29 Sep 2019
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems A. Teckentrup 42 67 0 31 Aug 2019
Kernel quadrature with DPPs Ayoub Belhadji Rémi Bardenet P. Chainais 65 41 0 18 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 53 72 0 13 Jun 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 387 331 0 17 May 2019
Approximate Bayesian computation via the energy statistic Hien Nguyen Julyan Arbel Hongliang Lü F. Forbes 87 29 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 81 57 0 09 May 2019
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 77 289 0 05 Oct 2018
Symmetry Exploits for Bayesian Cubature Methods Toni Karvonen Simo Särkkä Chris J. Oates 36 15 0 26 Sep 2018
Fast Automatic Bayesian Cubature Using Lattice Sampling R. Jagadeeswaran F. J. Hickernell 30 36 0 26 Sep 2018
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 71 102 0 27 Mar 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 70 13 0 23 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 174 1,500 0 04 Jan 2018
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 83 45 0 01 Sep 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 190 631 0 01 Jun 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 724 0 24 May 2017
Support points Simon Mak V. R. Joseph 51 141 0 07 Sep 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 120 66 0 31 May 2016
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression Jovana Mitrović Dino Sejdinovic Yee Whye Teh BDL 26 33 0 15 Feb 2016
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 62 53 0 03 Dec 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne 91 90 0 08 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
Approximate Bayesian Computation for Forward Modeling in Cosmology Joel Akeret Alexandre Réfrégier A. Amara Sebastian Seehars C. Hasner 47 90 0 27 Apr 2015
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model Jingjing Li David J. Nott Yanan Fan Scott A. Sisson 174 42 0 16 Apr 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 116 847 0 10 Feb 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 167 288 0 14 Jan 2015
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Tom Gunter Michael A. Osborne Roman Garnett Philipp Hennig Stephen J. Roberts TPM 64 104 0 03 Nov 2014
Likelihood-free inference via classification Michael U. Gutmann Ritabrata Dutta Samuel Kaski J. Corander 186 63 0 18 Jul 2014
On the Equivalence between Herding and Conditional Gradient Algorithms Francis R. Bach Simon Lacoste-Julien G. Obozinski 182 169 0 20 Mar 2012
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 167 342 0 15 Mar 2012
Approximate Bayesian Computational methods Jean-Michel Marin Pierre Pudlo Christian P. Robert Robin J. Ryder 234 866 0 05 Jan 2011
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 217 747 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 233 2,365 0 15 May 2008
Adaptive approximate Bayesian computation Mark Beaumont J. Cornuet Jean-Michel Marin Christian P. Robert 203 646 0 15 May 2008