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The Horseshoe+ Estimator of Ultra-Sparse Signals

2 February 2015

Papers citing "The Horseshoe+ Estimator of Ultra-Sparse Signals"

20 / 20 papers shown

Title
False Discovery Rate Control via Frequentist-assisted Horseshoe Qiaoyu Liang Zihan Zhu Ziang Fu Michael Evans 114 0 0 08 Feb 2025
A Bayesian approach to estimate the completeness of death registration Jairo Fúquene Patino Tim Adair 21 0 0 03 Oct 2023
Posterior Contraction rate and Asymptotic Bayes Optimality for one-group shrinkage priors in sparse normal means problem Sayantan Paul A. Chakrabarti 27 0 0 04 Nov 2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 75 1 0 20 Oct 2022
Sparse Linear Mixed Model Selection via Streamlined Variational Bayes Emanuele Degani Luca Maestrini Dorota Toczydlowska M. Wand 50 1 0 13 Oct 2021
Horseshoe shrinkage methods for Bayesian fusion estimation Sayantan Banerjee 32 11 0 15 Feb 2021
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua C. Chang P. Fletcher Ju Han Ted L.Chang Shashaank Vattikuti Bart Desmet Ayah Zirikly Carson C. Chow 37 4 0 08 Dec 2020
HALO: Learning to Prune Neural Networks with Shrinkage Skyler Seto M. Wells Wenyu Zhang 52 0 0 24 Aug 2020
A Bayesian Model of Dose-Response for Cancer Drug Studies Wesley Tansey Christopher Tosh David M. Blei 39 0 0 10 Jun 2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models A. Bhadra J. Datta Yunfan Li Nicholas G. Polson 87 15 0 24 Apr 2019
A novel Bayesian approach for variable selection in linear regression models K. Posch M. Arbeiter J. Pilz 29 6 0 13 Mar 2019
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 74 96 0 04 Oct 2018
Bayesian $l_0$ -regularized Least Squares Nicholas G. Polson Lei Sun 152 21 0 31 May 2017
Adaptive posterior contraction rates for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 63 72 0 13 Feb 2017
High-Dimensional Bayesian Regularised Regression with the BayesReg Package E. Makalic Daniel F. Schmidt 78 66 0 21 Nov 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 94 74 0 07 Jul 2016
Prediction risk for the horseshoe regression A. Bhadra J. Datta Yunfan Li Nicholas G. Polson Brandon T. Willard 173 16 0 16 May 2016
Global-Local Mixtures A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 48 5 0 26 Apr 2016
Conditions for Posterior Contraction in the Sparse Normal Means Problem S. V. D. Pas J. Salomond Johannes Schmidt-Hieber 66 65 0 08 Oct 2015
A simple sampler for the horseshoe estimator E. Makalic Daniel F. Schmidt 96 239 0 17 Aug 2015