Dimension-free Mixing for High-dimensional Bayesian Variable Selection

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Dimension-free Mixing for High-dimensional Bayesian Variable Selection

12 May 2021

Gareth O. Roberts

Jeffrey S. Rosenthal

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Papers citing "Dimension-free Mixing for High-dimensional Bayesian Variable Selection"

16 / 16 papers shown

Title
A phase transition in sampling from Restricted Boltzmann Machines Youngwoo Kwon Qian Qin Guanyang Wang Yuchen Wei 55 0 0 10 Oct 2024
A geometric approach to informed MCMC sampling Vivekananda Roy 70 0 0 13 Jun 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces Hyunwoong Chang Quan Zhou 77 6 0 05 Apr 2024
Structure Learning with Adaptive Random Neighborhood Informed MCMC Alberto Caron Xitong Liang Samuel Livingstone Jim Griffin 31 2 0 01 Nov 2023
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models Xitong Liang Samuel Livingstone Jim Griffin 66 6 0 01 Aug 2023
Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings Riddhiman Bhattacharya Galin L. Jones 59 2 0 21 Jul 2023
On Mixing Rates for Bayesian CART Jungeum Kim Veronika Rockova 120 7 0 31 May 2023
Importance is Important: A Guide to Informed Importance Tempering Methods Guanxun Li Aaron Smith Quan Zhou 72 2 0 13 Apr 2023
Understanding Linchpin Variables in Markov Chain Monte Carlo Dootika Vats Felipe Acosta M. Huber Galin L. Jones 47 0 0 24 Oct 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems Hyunwoong Chang Changwoo J. Lee Z. Luo H. Sang Quan Zhou 54 11 0 01 Jul 2022
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors Shao‐Hsuan Wang Ray Bai Hsin-Hsiung Huang 59 5 0 30 Jan 2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection Xitong Liang Samuel Livingstone Jim Griffin BDL 70 10 0 22 Oct 2021
$Bayesian $L_{\frac{1}{2}}$ regression$ Bayesian $L_{\frac{1}{2}}$ regression X. Ke Yanan Fan 26 1 0 07 Aug 2021
Rapid Convergence of Informed Importance Tempering Quan Zhou Aaron Smith 63 10 0 22 Jul 2021
Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes Quan Zhou Hyunwoong Chang 102 12 0 11 Jan 2021
Complexity Results for MCMC derived from Quantitative Bounds Jun Yang Jeffrey S. Rosenthal 84 24 0 02 Aug 2017