Black-box Importance Sampling

17 October 2016

Papers citing "Black-box Importance Sampling"

8 / 8 papers shown

Title
Targeted Separation and Convergence with Kernel Discrepancies Alessandro Barp Carl-Johann Simon-Gabriel Mark Girolami Lester W. Mackey 96 15 0 26 Sep 2022
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 105 486 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 200 328 0 09 Feb 2016
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne 71 90 0 08 Jun 2015
Optimally-Weighted Herding is Bayesian Quadrature Ferenc Huszár David Duvenaud 69 107 0 09 Aug 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 144 1,168 0 31 Dec 2013
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 161 341 0 15 Mar 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 166 4,304 0 18 Nov 2011