Revisiting maximum-a-posteriori estimation in log-concave models

19 December 2016

Papers citing "Revisiting maximum-a-posteriori estimation in log-concave models"

12 / 12 papers shown

Title
Monte Carlo Information Geometry: The dually flat case Frank Nielsen Gaëtan Hadjeres 25 18 0 20 Mar 2018
Local Kernels that Approximate Bayesian Regularization and Proximal Operators Frank Ong P. Milanfar Pascal Getreuer 45 12 0 09 Mar 2018
Equivalence of weak and strong modes of measures on topological vector spaces H. Lie T. Sullivan 30 16 0 08 Aug 2017
Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems S. Agapiou Martin Burger Masoumeh Dashti T. Helin 36 47 0 09 May 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 51 176 0 22 Dec 2016
Maximum a Posteriori Estimators as a Limit of Bayes Estimators R. Bassett Julio Deride 31 83 0 17 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 65 795 0 09 Nov 2016
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation S. Sreehari S. Venkatakrishnan B. Wohlberg L. Drummy Jeff P. Simmons Charles A. Bouman 70 341 0 23 Dec 2015
Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems T. Helin Martin Burger 35 85 0 18 Dec 2014
Convex Optimization for Big Data Volkan Cevher Stephen Becker Mark Schmidt 57 301 0 04 Nov 2014
Maximum-A-Posteriori Estimates in Linear Inverse Problems with Log-concave Priors are Proper Bayes Estimators Martin Burger F. Lucka 57 62 0 21 Feb 2014
Compressible Distributions for High-dimensional Statistics Rémi Gribonval Volkan Cevher Mike E. Davies 59 94 0 07 Feb 2011