Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection

22 October 2021

Papers citing "Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection"

24 / 24 papers shown

Title
Dimension-free Mixing for High-dimensional Bayesian Variable Selection Quan Zhou Jun Yang Dootika Vats Gareth O. Roberts Jeffrey S. Rosenthal 32 24 0 12 May 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions Will Grathwohl Kevin Swersky Milad Hashemi David Duvenaud Chris J. Maddison BDL 45 96 0 08 Feb 2021
A general perspective on the Metropolis-Hastings kernel Christophe Andrieu Anthony Lee Samuel Livingstone 62 24 0 29 Dec 2020
Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes Samuel Power Jacob Vorstrup Goldman 39 31 0 10 Dec 2019
Informed reversible jump algorithms Philippe Gagnon 21 12 0 05 Nov 2019
Gradient-based Adaptive Markov Chain Monte Carlo Michalis K. Titsias P. Dellaportas BDL 70 22 0 04 Nov 2019
The Barker proposal: combining robustness and efficiency in gradient-based MCMC Samuel Livingstone Giacomo Zanella 44 49 0 30 Aug 2019
Variational Bayes for high-dimensional linear regression with sparse priors Kolyan Ray Botond Szabó 56 99 0 15 Apr 2019
A Framework for Adaptive MCMC Targeting Multimodal Distributions E. Pompe Chris Holmes K. Latuszyñski 43 58 0 06 Dec 2018
Scalable Importance Tempering and Bayesian Variable Selection Giacomo Zanella Gareth O. Roberts 35 42 0 01 May 2018
Informed proposals for local MCMC in discrete spaces Giacomo Zanella 55 125 0 20 Nov 2017
varbvs: Fast Variable Selection for Large-scale Regression P. Carbonetto Xiaoping Zhou M. Stephens BDL 22 16 0 19 Sep 2017
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p Jim Griffin Krys Latuszynski M. Steel AI4TS 50 34 0 18 Aug 2017
Paired-move multiple-try stochastic search for Bayesian variable selection Xu Chen S. Qamar S. Tokdar 35 2 0 29 Nov 2016
Tractable Bayesian variable selection: beyond normality D. Rossell F. Rubio 68 31 0 06 Sep 2016
On the Computational Complexity of High-Dimensional Bayesian Variable Selection Yun Yang Martin J. Wainwright Michael I. Jordan 57 151 0 29 May 2015
The Hamming Ball Sampler Michalis K. Titsias C. Yau 26 43 0 30 Apr 2015
Bayesian variable selection with shrinking and diffusing priors N. Narisetty Xuming He BDL 49 212 0 26 May 2014
Scalable Bayesian model averaging through local information propagation Li Ma 38 7 0 10 Mar 2014
Adaptive MC^3 and Gibbs algorithms for Bayesian Model Averaging in Linear Regression Models D. Lamnisos Jim Griffin M. Steel 52 4 0 25 Jun 2013
Convergence of adaptive and interacting Markov chain Monte Carlo algorithms G. Fort Eric Moulines P. Priouret 47 100 0 14 Mar 2012
Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters Zuofeng Shang M. Clayton 58 29 0 04 Feb 2011
Sequential Monte Carlo on large binary sampling spaces Christian Schafer Nicolas Chopin BDL 66 110 0 31 Jan 2011
Adaptive Gibbs samplers and related MCMC methods K. Latuszyñski Gareth O. Roberts Jeffrey S. Rosenthal 74 88 0 31 Jan 2011