Fast simulation of truncated Gaussian distributions

30 January 2012

Papers citing "Fast simulation of truncated Gaussian distributions"

25 / 25 papers shown

Title
Spectral gap bounds for reversible hybrid Gibbs chains Qian Qin Nianqiao Ju Guanyang Wang 81 5 0 20 Dec 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 80 1 0 21 Jun 2023
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results Niccolò Anceschi A. Fasano Daniele Durante Giacomo Zanella 83 18 0 16 Jun 2022
Rates of convergence for Gibbs sampling in the analysis of almost exchangeable data Balázs Gerencsér A. Ottolini 28 4 0 29 Oct 2020
Scalable computation of predictive probabilities in probit models with Gaussian process priors JIAN-PENG Cao Daniele Durante M. Genton 89 11 0 03 Sep 2020
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One A. Fasano Daniele Durante 80 27 0 14 Jul 2020
Scalable and Accurate Variational Bayes for High-Dimensional Binary Regression Models A. Fasano Daniele Durante Giacomo Zanella 99 32 0 15 Nov 2019
An Efficient Sampling Algorithm for Non-smooth Composite Potentials Wenlong Mou Nicolas Flammarion Martin J. Wainwright Peter L. Bartlett 61 24 0 01 Oct 2019
Bayesian Metabolic Flux Analysis reveals intracellular flux couplings Markus Heinonen Maria Osmala Henrik Mannerstrom J. Wallenius Samuel Kaski Juho Rousu Harri Lähdesmäki 37 22 0 18 Apr 2018
Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization Jarno Hartog Harry Van Zanten 43 3 0 13 Apr 2018
Trace your sources in large-scale data: one ring to find them all Alexander Böttcher Wieland Brendel B. Englitz Matthias Bethge 36 1 0 23 Mar 2018
Conjugate Bayes for probit regression via unified skew-normal distributions Daniele Durante 84 58 0 26 Feb 2018
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks Qinliang Su X. Liao Lawrence Carin 49 16 0 18 Sep 2017
Bayesian Nonparametric Unmixing of Hyperspectral Images Jürgen T. Hahn A. Zoubir 52 2 0 26 Feb 2017
Bayesian Nonparametric Feature and Policy Learning for Decision-Making Jürgen T. Hahn A. Zoubir 38 0 0 26 Feb 2017
Unsupervised Learning with Truncated Gaussian Graphical Models Qinliang Su X. Liao Chunyuan Li Zhe Gan Lawrence Carin 43 8 0 15 Nov 2016
Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions Yulai Cong Bo Chen Mingyuan Zhou 80 47 0 16 Jul 2016
The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting Z. Botev 67 243 0 14 Mar 2016
Fast Gibbs sampling for high-dimensional Bayesian inversion F. Lucka 65 16 0 27 Feb 2016
Bayesian anti-sparse coding Clément Elvira P. Chainais N. Dobigeon 57 15 0 18 Dec 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 110 76 0 29 Jun 2015
Computation of Gaussian orthant probabilities in high dimension James Ridgway 102 22 0 05 Nov 2014
Bayesian learning of noisy Markov decision processes Sumeetpal S. Singh Nicolas Chopin N. Whiteley 67 8 0 26 Nov 2012
The Bayesian Bridge Nicholas G. Polson James G. Scott Jesse Windle 111 156 0 11 Sep 2011
Sequential Monte Carlo EM for multivariate probit models G. Moffa Jack Kuipers 76 9 0 12 Jul 2011