Black-box Importance Sampling

17 October 2016

Papers citing "Black-box Importance Sampling"

14 / 14 papers shown

Title
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 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
Minimum Discrepancy Methods in Uncertainty Quantification Chris J. Oates 39 2 0 13 Sep 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
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 22 17 0 30 Mar 2021
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning Ali Mousavi Lihong Li Qiang Liu Denny Zhou OffRL 16 32 0 24 Mar 2020
Batch Stationary Distribution Estimation Junfeng Wen Bo Dai Lihong Li Dale Schuurmans OffRL 14 22 0 02 Mar 2020
The reproducing Stein kernel approach for post-hoc corrected sampling Liam Hodgkinson R. Salomone Fred Roosta 32 27 0 25 Jan 2020
Random Feature Stein Discrepancies Jonathan H. Huggins Lester W. Mackey 35 45 0 20 Jun 2018
Monte Carlo integration with a growing number of control variates François Portier Johan Segers 20 27 0 05 Jan 2018
On the Sampling Problem for Kernel Quadrature François‐Xavier Briol Chris J. Oates Jon Cockayne W. Chen Mark Girolami 23 29 0 11 Jun 2017
Measuring Sample Quality with Diffusions Jackson Gorham Andrew B. Duncan Sandra Jeanne Vollmer Lester W. Mackey 38 116 0 21 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 38 118 0 06 Nov 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016