Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

24 December 2017

Papers citing "Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs"

12 / 12 papers shown

Title
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 71 102 0 27 Mar 2018
Support points Simon Mak V. R. Joseph 51 141 0 07 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 80 1,094 0 16 Aug 2016
Parallel local approximation MCMC for expensive models Patrick R. Conrad Andrew D. Davis Youssef Marzouk Natesh Pillai Aaron Smith 62 35 0 10 Jul 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 213 328 0 09 Feb 2016
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 115 161 0 17 Dec 2014
Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations Patrick R. Conrad Youssef M. Marzouk Natesh S. Pillai Aaron Smith 86 116 0 07 Feb 2014
GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm Blake MacDonald P. Ranjan H. Chipman 71 109 0 03 May 2013
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 167 342 0 15 Mar 2012
Approximating Probability Densities by Iterated Laplace Approximations B. Bornkamp 482 28 0 17 Mar 2011
Robust adaptive Metropolis algorithm with coerced acceptance rate M. Vihola 104 255 0 19 Nov 2010