An introduction to sampling via measure transport

An introduction to sampling via measure transport

16 February 2016

Youssef Marzouk

Tarek A. El-Moselhy

Alessio Spantini

Papers citing "An introduction to sampling via measure transport"

16 / 16 papers shown

Title
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz M. Girolami Andrew M. Stuart A. Vadeboncoeur 36 1 0 28 May 2024
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 22 1 0 18 Apr 2023
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling Jiri Hron Roman Novak Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 40 6 0 15 Jun 2022
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms Amirhossein Taghvaei Bamdad Hosseini OT 22 17 0 22 Mar 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates N. J. Irons M. Scetbon Soumik Pal Zaïd Harchaoui 20 17 0 31 Dec 2021
Operator Shifting for General Noisy Matrix Systems Philip A. Etter Lexing Ying 19 1 0 22 Apr 2021
Self Normalizing Flows Thomas Anderson Keller Jorn W. T. Peters P. Jaini Emiel Hoogeboom Patrick Forré Max Welling 22 14 0 14 Nov 2020
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 21 14 0 07 Oct 2020
Deep composition of tensor-trains using squared inverse Rosenblatt transports Tiangang Cui S. Dolgov OT 18 33 0 14 Jul 2020
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 16 103 0 09 Mar 2019
Kernel embedded nonlinear observational mappings in the variational mapping particle filter M. Pulido P. Leeuwen D. Posselt 13 7 0 29 Jan 2019
Bayesian Learning with Wasserstein Barycenters Julio D. Backhoff Veraguas J. Fontbona Gonzalo Rios Felipe A. Tobar 15 29 0 28 May 2018
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 19 1,067 0 16 Aug 2016
Sequential Bayesian optimal experimental design via approximate dynamic programming Xun Huan Youssef M. Marzouk 27 66 0 28 Apr 2016
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 59 125 0 31 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 170 3,260 0 09 Jun 2012