Inference via low-dimensional couplings

Inference via low-dimensional couplings

17 March 2017

Alessio Spantini

Youssef Marzouk

Papers citing "Inference via low-dimensional couplings"

12 / 62 papers shown

Title
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 14 141 0 07 May 2019
Conditionally structured variational Gaussian approximation with importance weights Linda S. L. Tan Aishwarya Bhaskaran David J. Nott 14 13 0 21 Apr 2019
High-dimensional copula variational approximation through transformation M. Smith Rubén Loaiza-Maya David J. Nott 17 33 0 16 Apr 2019
Importance Sampling-based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models Kjartan Kloster Osmundsen T. S. Kleppe R. Liesenfeld 24 3 0 19 Dec 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 21 40 0 24 Jan 2018
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting Rebecca E. Morrison Ricardo Baptista Youssef Marzouk CML 30 26 0 02 Nov 2017
Advanced Multilevel Monte Carlo Methods Ajay Jasra K. Law C. Suciu 27 14 0 24 Apr 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 8 28 0 18 Apr 2017
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 64 125 0 31 Jan 2016
Gibbs flow for approximate transport with applications to Bayesian computation J. Heng Arnaud Doucet Y. Pokern OT 19 46 0 29 Sep 2015
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 51 159 0 17 Dec 2014