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Horseshoe Regularization for Machine Learning in Complex and Deep Models

24 April 2019

Papers citing "Horseshoe Regularization for Machine Learning in Complex and Deep Models"

31 / 31 papers shown

Title
False Discovery Rate Control via Frequentist-assisted Horseshoe Qiaoyu Liang Zihan Zhu Ziang Fu Michael Evans 81 0 0 08 Feb 2025
Quality of Uncertainty Quantification for Bayesian Neural Network Inference Jiayu Yao Weiwei Pan S. Ghosh Finale Doshi-Velez UQCV BDL 181 113 0 24 Jun 2019
Efficient sampling for Gaussian linear regression with arbitrary priors P. R. Hahn Jingyu He H. Lopes 49 32 0 14 Jun 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 48 78 0 13 Jun 2018
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 116 75 0 25 May 2018
Bayesian Joint Spike-and-Slab Graphical Lasso Z. Li Tyler H. McCormick S. Clark 59 35 0 18 May 2018
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 67 120 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 166 481 0 24 May 2017
Bayes Shrinkage at GWAS scale: Convergence and Approximation Theory of a Scalable MCMC Algorithm for the Horseshoe Prior J. Johndrow Paulo Orenstein A. Bhattacharya 67 24 0 02 May 2017
Horseshoe Regularization for Feature Subset Selection A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 38 9 0 23 Feb 2017
Achieving Shrinkage in a Time-Varying Parameter Model Framework A. Bitto Sylvia Fruhwirth-Schnatter 37 157 0 04 Nov 2016
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model Alexander Terenin Shawfeng Dong D. Draper 44 40 0 15 Aug 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 74 74 0 07 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Prediction risk for the horseshoe regression A. Bhadra J. Datta Yunfan Li Nicholas G. Polson Brandon T. Willard 133 16 0 16 May 2016
Global-Local Mixtures A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 24 5 0 26 Apr 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 90 8 0 11 Feb 2016
DOLDA - a regularized supervised topic model for high-dimensional multi-class regression Maans Magnusson Leif Jonsson M. Villani 27 15 0 31 Jan 2016
Conditions for Posterior Contraction in the Sparse Normal Means Problem S. V. D. Pas J. Salomond Johannes Schmidt-Hieber 52 65 0 08 Oct 2015
On the contraction properties of some high-dimensional quasi-posterior distributions Yves F. Atchadé 89 39 0 31 Aug 2015
A simple sampler for the horseshoe estimator E. Makalic Daniel F. Schmidt 51 238 0 17 Aug 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 68 180 0 15 Jun 2015
The Horseshoe+ Estimator of Ultra-Sparse Signals A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 75 168 0 02 Feb 2015
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 79 169 0 01 Apr 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013
Asymptotic Properties of Bayes Risk of a General Class of Shrinkage Priors in Multiple Hypothesis Testing Under Sparsity P. Ghosh Xueying Tang M. Ghosh A. Chakrabarti 70 53 0 28 Oct 2013
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences I. Castillo A. van der Vaart 136 251 0 06 Nov 2012
Generalized Beta Mixtures of Gaussians Artin Armagan David B. Dunson M. Clyde 84 153 0 25 Jul 2011
Data augmentation for non-Gaussian regression models using variance-mean mixtures Nicholas G. Polson James G. Scott 104 45 0 28 Mar 2011
Parameter expansion in local-shrinkage models James G. Scott 52 16 0 25 Oct 2010
Sparsistency and rates of convergence in large covariance matrix estimation Clifford Lam Jianqing Fan 233 610 0 26 Nov 2007