Horseshoe Regularization for Machine Learning in Complex and Deep Models

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Horseshoe Regularization for Machine Learning in Complex and Deep Models

24 April 2019

Nicholas G. Polson

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

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Title
False Discovery Rate Control via Frequentist-assisted Horseshoe Qiaoyu Liang Zihan Zhu Ziang Fu Michael Evans 114 0 0 08 Feb 2025
Perturbative partial moment matching and gradient-flow adaptive importance sampling transformations for Bayesian leave one out cross-validation Joshua C. Chang Xiangting Li Shixin Xu Hao-Ren Yao Julia Porcino Carson C. Chow 90 0 0 13 Feb 2024
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions Hongjing Xia Joshua C. Chang S. Nowak Sonya Mahajan R. Mahajan Ted L. Chang Carson C. Chow 70 1 0 19 Apr 2023
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 85 0 0 28 Aug 2022
Deep Partial Least Squares for Empirical Asset Pricing M. Dixon Nicholas G. Polson Kemen Goicoechea 55 2 0 20 Jun 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 65 0 0 03 Mar 2022
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 74 10 0 22 Oct 2021