Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations

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Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations

5 December 2015

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Papers citing "Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations"

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Title
Structured Learning in Time-dependent Cox Models Guanbo Wang Yimin Lian Archer Y. Yang Robert W. Platt Rui Wang S. Perreault M. Dorais M. Schnitzer 111 3 0 21 Jun 2023
The non-overlapping statistical approximation to overlapping group lasso Mingyu Qi Tianxi Li 66 2 0 16 Nov 2022
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 472 2 0 24 Aug 2021
A likelihood-based approach for multivariate categorical response regression in high dimensions Aaron J. Molstad Adam J. Rothman 56 6 0 15 Jul 2020
Flexible co-data learning for high-dimensional prediction M. V. van Nee L. Wessels M. A. van de Wiel OOD 54 16 0 08 May 2020
LassoNet: A Neural Network with Feature Sparsity Ismael Lemhadri Feng Ruan L. Abraham Robert Tibshirani 178 131 0 29 Jul 2019
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence Ze Jin Xiaohan Yan David S. Matteson 58 1 0 17 May 2018
Graph-Guided Banding of the Covariance Matrix Jacob Bien 72 6 0 01 Jun 2016
Learning Local Dependence In Ordered Data Guo Yu Jacob Bien 177 34 0 25 Apr 2016