Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties

28 February 2020

Papers citing "Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties"

10 / 10 papers shown

Title
Bayesian Effect Fusion for Categorical Predictors Daniela Pauger Helga Wagner 32 23 0 29 Mar 2017
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants Yu Lu Harrison H. Zhou 251 109 0 07 Dec 2016
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 60 115 0 03 Jul 2015
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 173 46 0 23 Dec 2014
Fast tree inference with weighted fusion penalties J. Chiquet P. Gutierrez G. Rigaill 50 26 0 22 Jul 2014
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 103 175 0 20 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 277 516 0 10 May 2013
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors P. Breheny Jian Huang 159 287 0 10 Sep 2012
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 108 561 0 16 Sep 2011
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 327 3,562 0 25 Feb 2010