Variable selection in nonparametric additive models

20 October 2010

Papers citing "Variable selection in nonparametric additive models"

50 / 91 papers shown

Title
Asymptotics for estimating a diverging number of parameters - with and without sparsity Jana Gauss Thomas Nagler 54 0 0 26 Nov 2024
Generalized Sparse Additive Model with Unknown Link Function Peipei Yuan Xinge You H. Chen Xuelin Zhang Qinmu Peng 47 0 0 08 Oct 2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction The Tien Mai 18 0 0 03 Sep 2024
A Variational Spike-and-Slab Approach for Group Variable Selection M. Ramezani Hossein Rastgoftar Jun S. Liu 17 0 0 28 Sep 2023
Group Spike and Slab Variational Bayes M. Komodromos Marina Evangelou Sarah Filippi Kolyan Ray 12 1 0 19 Sep 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 8 3 0 24 Jul 2023
A minimax optimal approach to high-dimensional double sparse linear regression Yanhang Zhang Zhifan Li J. Yin 11 4 0 07 May 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia Yi Zhou Shiqiang Wang S. Kadhe Nathalie Baracaldo S. Patterson FedML 65 16 0 03 May 2023
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models Maximilian Kertel Stefan Harmeling Markus Pauly CML 15 4 0 26 Oct 2022
Nonparametric augmented probability weighting with sparsity Xin He Xiaojun Mao Zhonglei Wang 10 0 0 28 Sep 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 23 2 0 10 Aug 2022
The R Package BHAM: Fast and Scalable Bayesian Hierarchical Additive Model for High-dimensional Data Boyi Guo N. Yi 14 0 0 05 Jul 2022
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression Ziang Niu Yuwen Gu Wei Li CML 17 2 0 31 Mar 2022
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning Yuege Xie Bobby Shi Hayden Schaeffer Rachel A. Ward 57 8 0 07 Dec 2021
Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data Analysis Boyi Guo Byron Jaeger A. F. Rahman D. Long N. Yi 8 5 0 27 Oct 2021
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 14 2 0 24 Aug 2021
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 8 16 0 23 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 17 23 0 14 Apr 2021
Nonparametric and high-dimensional functional graphical models Eftychia Solea Holger Dette 24 12 0 18 Mar 2021
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 8 360 0 04 Dec 2020
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning Siyi Deng Y. Ning Jiwei Zhao Heping Zhang 15 6 0 28 Nov 2020
Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso Yi-Bo Yao Cun-Hui Zhang 12 0 0 13 Nov 2020
Nonparametric Variable Screening with Optimal Decision Stumps Jason M. Klusowski Peter M. Tian 13 5 0 05 Nov 2020
Functional Group Bridge for Simultaneous Regression and Support Estimation Zhengjia Wang J. Magnotti M. Beauchamp Meng Li 6 4 0 17 Jun 2020
Momentum with Variance Reduction for Nonconvex Composition Optimization Ziyi Chen Yi Zhou ODL 11 3 0 15 May 2020
On Deep Instrumental Variables Estimate Ruiqi Liu Zuofeng Shang Guang Cheng 11 23 0 30 Apr 2020
Latent Network Structure Learning from High Dimensional Multivariate Point Processes Biao Cai Jingfei Zhang Yongtao Guan 11 15 0 07 Apr 2020
Variable Grouping Based Bayesian Additive Regression Tree Yuhao Su Jie Ding 11 0 0 03 Nov 2019
Sparse Tensor Additive Regression Botao Hao Boxiang Wang Pengyuan Wang Jingfei Zhang Jian Yang W. Sun MedIm 6 25 0 31 Mar 2019
Sparse Learning for Variable Selection with Structures and Nonlinearities Magda Gregorova 11 1 0 26 Mar 2019
Structure learning via unstructured kernel-based M-regression Xin He Yeheng Ge Xingdong Feng 14 0 0 03 Jan 2019
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process Framework Minerva Mukhopadhyay S. Bhattacharya 9 1 0 23 Oct 2018
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties Jian Huang Yuling Jiao Xiliang Lu Yueyong Shi Qinglong Yang 8 2 0 09 Oct 2018
Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient Tianyi Lin Chenyou Fan Mengdi Wang Michael I. Jordan 6 24 0 01 Jun 2018
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Yingxiang Yang Adams Wei Yu Zhaoran Wang T. Zhao 11 3 0 11 Mar 2018
Improved Oracle Complexity of Variance Reduced Methods for Nonsmooth Convex Stochastic Composition Optimization Tianyi Lin Chenyou Fan Mengdi Wang 25 0 0 07 Feb 2018
Nonparametric Independence Screening via Favored Smoothing Bandwidth Yang Feng Yichao Wu L. Stefanski 15 8 0 28 Nov 2017
A sure independence screening procedure for ultra-high dimensional partially linear additive models Mohammad Kazemi D. Shahsavani M. Arashi 10 7 0 29 Aug 2017
Targeted Undersmoothing Christian B. Hansen Damian Kozbur S. Misra 11 12 0 22 Jun 2017
Homogeneity Pursuit in Single Index Models based Panel Data Analysis H. Lian Xinghao Qiao Wenyang Zhang 20 20 0 02 Jun 2017
Penalized Estimation in Additive Regression with High-Dimensional Data Z. Tan Cun-Hui Zhang 8 5 0 24 Apr 2017
Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models Damian Kozbur 13 5 0 03 Feb 2017
Estimation and Model Identification of Locally Stationary Varying-Coefficient Additive Models Lixia Hu Tao Huang Jinhong You 25 0 0 01 Dec 2016
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data M. Yamada Jiliang Tang Jose Lugo-Martinez Ermin Hodzic Raunak Shrestha ... Hiroshi Mamitsuka Cenk Sahinalp P. Radivojac Filippo Menczer Yi-Ju Chang 17 64 0 14 Aug 2016
On Hodges' Superefficiency and Merits of Oracle Property in Model Selection Xianyi Wu Xian Zhou 22 6 0 10 Aug 2016
Learning Sparse Additive Models with Interactions in High Dimensions Hemant Tyagi Anastasios Kyrillidis B. Gärtner Andreas Krause 19 14 0 18 Apr 2016
Statistical inference in sparse high-dimensional additive models Karl B. Gregory E. Mammen Martin Wahl 19 6 0 24 Mar 2016
Partially linear additive quantile regression in ultra-high dimension Ben Sherwood Lan Wang 8 108 0 22 Jan 2016
Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach Tianwei Yu 8 2 0 20 Jan 2016
Analysis of Testing-Based Forward Model Selection Damian Kozbur 14 8 0 08 Dec 2015