Variable selection in nonparametric additive models

20 October 2010

Papers citing "Variable selection in nonparametric additive models"

41 / 91 papers shown

Title
Functional additive regression Yingying Fan Gareth M. James P. Radchenko 22 138 0 14 Oct 2015
Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates Shujie Ma R. Carroll Hua Liang Shizhong Xu 17 17 0 14 Oct 2015
Adaptive variable selection in nonparametric sparse additive models C. Butucea N. Stepanova 20 12 0 26 Aug 2015
Multi-task additive models with shared transfer functions based on dictionary learning Alhussein Fawzi M. Sinn P. Frossard KELM 20 4 0 19 May 2015
Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables Damian Kozbur CML 24 12 0 18 Mar 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 26 23 0 10 Mar 2015
Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition M. Yuan Ding-Xuan Zhou 24 65 0 10 Mar 2015
Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood Jinyuan Chang C. Tang Yichao Wu FAtt 30 42 0 25 Feb 2015
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 24 46 0 23 Dec 2014
Valid uncertainty quantification about the model in a linear regression setting Ryan Martin Huiping Xu Zuoyi Zhang Chuanhai Liu 21 3 0 16 Dec 2014
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang Ethan X. Fang Han Liu 24 260 0 14 Nov 2014
N $^3$ LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data M. Yamada A. Saha Ouyang Hua Dawei Yin Yi-Ju Chang 14 3 0 10 Nov 2014
Faithful Variable Screening for High-Dimensional Convex Regression Min Xu Minhua Chen John D. Lafferty 19 26 0 07 Nov 2014
Fused Lasso Additive Model Ashley Petersen Daniela Witten N. Simon 34 74 0 18 Sep 2014
Variable selection in high-dimensional additive models based on norms of projections Martin Wahl 38 6 0 31 May 2014
Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates Li Wang L. Xue A. Qu Hua Liang 19 70 0 23 May 2014
Adaptive Bayesian density regression for high-dimensional data Weining Shen S. Ghosal 42 26 0 11 Mar 2014
A theory of nonparametric regression in the presence of complex nuisance components Martin Wahl 38 2 0 05 Mar 2014
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 44 350 0 11 Nov 2013
Feature Selection with Annealing for Computer Vision and Big Data Learning Adrian Barbu Yiyuan She Liangjing Ding Gary Gramajo 28 102 0 10 Oct 2013
Nonparametric regression with the scale depending on auxiliary variable S. Efromovich 29 14 0 13 Aug 2013
Bayesian Quantile Regression for Partially Linear Additive Models Yuao Hu Kaifeng Zhao H. Lian 44 28 0 10 Jul 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 45 1,384 0 27 May 2013
Asymptotics for penalized splines in generalized additive models Takuma Yoshida K. Naito 53 15 0 20 Aug 2012
Two-step estimation of high dimensional additive models Kengo Kato 56 6 0 23 Jul 2012
Grouping Strategies and Thresholding for High Dimensional Linear Models Mathilde Mougeot D. Picard K. Tribouley 54 5 0 09 Jul 2012
Group Sparse Additive Models Junming Yin X. Chen Eric P. Xing 45 40 0 18 Jun 2012
Non-asymptotic Oracle Inequalities for the Lasso and Group Lasso in high dimensional logistic model Marius Kwemou 32 21 0 04 Jun 2012
A Selective Review of Group Selection in High-Dimensional Models Jian Huang P. Breheny Shuangge Ma 61 375 0 29 Apr 2012
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso M. Yamada Wittawat Jitkrittum Leonid Sigal Eric P. Xing Masashi Sugiyama 45 278 0 02 Feb 2012
Selection Consistency of EBIC for GLIM with Non-canonical Links and Diverging Number of Parameters S. Luo Zehua Chen 40 8 0 13 Dec 2011
Dynamic Large Spatial Covariance Matrix Estimation in Application to Semiparametric Model Construction via Variable Clustering: the SCE approach Song Song 49 3 0 20 Jun 2011
Group Lasso for high dimensional sparse quantile regression models Kengo Kato 70 48 0 08 Mar 2011
Detection of sparse additive functions G. Gayraud Yu. I. Ingster 27 15 0 29 Nov 2010
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain A. Belloni Daniel L. Chen Victor Chernozhukov Christian B. Hansen 54 570 0 21 Oct 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 113 377 0 11 Jul 2010
LASSO ISOtone for High Dimensional Additive Isotonic Regression Zhou Fang N. Meinshausen 78 23 0 15 Jun 2010
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models Jianqing Fan Yang Feng Rui Song 58 576 0 14 Dec 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 164 283 0 09 Mar 2009
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 177 480 0 25 Jun 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 172 738 0 04 Apr 2008