On the Computational Complexity of High-Dimensional Bayesian Variable Selection

29 May 2015

Papers citing "On the Computational Complexity of High-Dimensional Bayesian Variable Selection"

39 / 39 papers shown

Title
A geometric approach to informed MCMC sampling Vivekananda Roy 65 0 0 13 Jun 2024
On Mixing Rates for Bayesian CART Jungeum Kim Veronika Rockova 120 7 0 31 May 2023
Bayesian inference and neural estimation of acoustic wave propagation Yongchao Huang Yuhang He Hong Ge 63 0 0 28 May 2023
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances Austin R. Brown Galin L. Jones 70 3 0 12 Dec 2022
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits Sunrit Chakraborty Saptarshi Roy Ambuj Tewari 77 10 0 11 Nov 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 110 14 0 17 Oct 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 85 12 0 04 Apr 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models Xuan Cao Kyoungjae Lee 62 1 0 14 Mar 2022
Exact Convergence Analysis for Metropolis-Hastings Independence Samplers in Wasserstein Distances Austin R. Brown Galin L. Jones 53 7 0 19 Nov 2021
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
Dimension-free Mixing for High-dimensional Bayesian Variable Selection Quan Zhou Jun Yang Dootika Vats Gareth O. Roberts Jeffrey S. Rosenthal 49 26 0 12 May 2021
A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection C. Staerk M. Kateri I. Ntzoufras 8 1 0 03 May 2021
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 69 16 0 14 Dec 2020
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors N. Biswas A. Bhattacharya Pierre E. Jacob J. Johndrow 55 14 0 09 Dec 2020
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors Jincheng Bai Qifan Song Guang Cheng BDL 31 4 0 24 Oct 2020
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms Richard Nickl Sven Wang 56 41 0 11 Sep 2020
On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models Bryant Davis J. Hobert 36 3 0 29 Apr 2020
Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions Chenguang Dai Jun S. Liu 68 7 0 12 Sep 2019
Additive Bayesian variable selection under censoring and misspecification D. Rossell F. Rubio CML 60 20 0 31 Jul 2019
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions Karl Oskar Ekvall Galin L. Jones 48 18 0 06 Jul 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations Brian L. Trippe Jonathan H. Huggins Raj Agrawal Tamara Broderick BDL 65 9 0 17 May 2019
Approximate spectral gaps for Markov chains mixing times in high dimensions Yves F. Atchadé 67 15 0 28 Mar 2019
Mixing Time of Metropolis-Hastings for Bayesian Community Detection Bumeng Zhuo Chao Gao 65 5 0 06 Nov 2018
Concentration of posterior probabilities and normalized L0 criteria D. Rossell 73 6 0 11 Jun 2018
Scalable Importance Tempering and Bayesian Variable Selection Giacomo Zanella Gareth O. Roberts 69 43 0 01 May 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 67 79 0 24 Dec 2017
Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression Qian Qin J. Hobert 53 32 0 24 Dec 2017
Targeted Random Projection for Prediction from High-Dimensional Features Minerva Mukhopadhyay David B. Dunson 58 16 0 06 Dec 2017
High-dimensional posterior consistency for hierarchical non-local priors in regression Xuan Cao Kshitij Khare M. Ghosh 55 17 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 77 35 0 18 Aug 2017
Unbiased Markov chain Monte Carlo with couplings Pierre E. Jacob J. O'Leary Yves F. Atchadé 123 73 0 11 Aug 2017
Complexity Results for MCMC derived from Quantitative Bounds Jun Yang Jeffrey S. Rosenthal 84 24 0 02 Aug 2017
Statistical and Computational Tradeoff in Genetic Algorithm-Based Estimation Manuel Rizzo F. Battaglia 33 2 0 25 Mar 2017
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood Yun Yang D. Pati 60 20 0 02 Jan 2017
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 75 15 0 06 Aug 2016
The Future of Data Analysis in the Neurosciences D. Bzdok B. Yeo AI4CE 121 5 0 05 Aug 2016
Conditions for Posterior Contraction in the Sparse Normal Means Problem S. V. D. Pas J. Salomond Johannes Schmidt-Hieber 59 65 0 08 Oct 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 298 57 0 06 Jun 2015
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions Yves F. Atchadé 76 11 0 26 May 2015