Variational Particle Approximations

Variational Particle Approximations

24 February 2014

Tejas D. Kulkarni

Vikash K. Mansinghka

Papers citing "Variational Particle Approximations"

13 / 13 papers shown

Title
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 1 0 30 Oct 2024
Statistical Distance Based Deterministic Offspring Selection in SMC Methods Oskar Kviman Hazal Koptagel Harald Melin J. Lagergren 17 0 0 23 Dec 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 68 17 0 22 Feb 2022
Partition Function Estimation: A Quantitative Study Durgesh Kumar Agrawal Yash Pote Kuldeep S. Meel 25 11 0 24 May 2021
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Inference of a mesoscopic population model from population spike trains M. Slawski A. Longtin E. Ben-David 24 12 0 03 Oct 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 29 8 0 23 May 2019
Kernel embedded nonlinear observational mappings in the variational mapping particle filter M. Pulido P. Leeuwen D. Posselt 21 7 0 29 Jan 2019
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 22 31 0 06 Jun 2018
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 19 1,067 0 16 Aug 2016
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 24 18 0 07 Feb 2016
Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs Andreas Stuhlmuller Robert D. Hawkins N. Siddharth Noah D. Goodman 11 9 0 09 Sep 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 28 929 0 11 Mar 2015