Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter

29 May 2018

Papers citing "Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter"

7 / 7 papers shown

Title
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 70 1,092 0 16 Aug 2016
Particle Filtering with Invertible Particle Flow Yunpeng Li Mark Coates 45 63 0 29 Jul 2016
An introduction to sampling via measure transport Youssef Marzouk Tarek A. El-Moselhy M. Parno Alessio Spantini OT 66 89 0 16 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling P. Bunch S. Godsill 77 60 0 12 Jun 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 152 6,625 0 22 Dec 2012
Bayesian Inference with Optimal Maps Tarek A. El-Moselhy Youssef M. Marzouk 75 289 0 07 Sep 2011