High-dimensional additive modeling

25 June 2008

Papers citing "High-dimensional additive modeling"

50 / 55 papers shown

Title
HRR: Hierarchical Retrospection Refinement for Generated Image Detection Peipei Yuan Zijing Xie Shuo Ye Hong Chen Yulong Wang DiffM 151 1 0 25 Feb 2025
Generalized Sparse Additive Model with Unknown Link Function Peipei Yuan Xinge You H. Chen Xuelin Zhang Qinmu Peng 59 0 0 08 Oct 2024
Universality in block dependent linear models with applications to nonparametric regression Samriddha Lahiry Pragya Sur 25 1 0 30 Dec 2023
Risk Bounds for Quantile Additive Trend Filtering Zhi Zhang Kyle Ritscher Oscar Hernan Madrid Padilla 11 1 0 18 Oct 2023
A Variational Spike-and-Slab Approach for Group Variable Selection M. Ramezani Hossein Rastgoftar Jun S. Liu 28 0 0 28 Sep 2023
Sparse-Input Neural Network using Group Concave Regularization Bin Luo S. Halabi 14 2 0 01 Jul 2023
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates Cheng Cao Jiguo Cao Hailiang Wang K. Tsui Xinyue Li 31 0 0 17 May 2023
Classification by sparse generalized additive models F. Abramovich 20 5 0 04 Dec 2022
Block-wise Primal-dual Algorithms for Large-scale Doubly Penalized ANOVA Modeling Penghui Fu Z. Tan 19 5 0 20 Oct 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection James Enouen Yan Liu 26 19 0 19 Sep 2022
Nonparametric inference for additive models estimated via simplified smooth backfitting S. Chatla 8 0 0 15 Sep 2022
The R Package BHAM: Fast and Scalable Bayesian Hierarchical Additive Model for High-dimensional Data Boyi Guo N. Yi 30 0 0 05 Jul 2022
A scalable and flexible Cox proportional hazards model for high-dimensional survival prediction and functional selection Boyi Guo N. Yi 38 1 0 23 May 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields Haoyu Wei Xiaoyu Lei Yixin Han Huiming Zhang 17 0 0 11 Feb 2022
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 24 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 27 2 0 24 Aug 2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning Dai Feng R. Baumgartner 21 0 0 19 Aug 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 32 27 0 14 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 651 0 20 Mar 2021
Nonparametric and high-dimensional functional graphical models Eftychia Solea Holger Dette 39 14 0 18 Mar 2021
(Decision and regression) tree ensemble based kernels for regression and classification Dai Feng R. Baumgartner 23 2 0 19 Dec 2020
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning Siyi Deng Y. Ning Jiwei Zhao Heping Zhang 31 7 0 28 Nov 2020
Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso Yi-Bo Yao Cun-Hui Zhang 33 0 0 13 Nov 2020
Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error Halaleh Kamari S. Huet M. Taupin 17 0 0 22 Sep 2020
Partially Observable Online Change Detection via Smooth-Sparse Decomposition Jie Guo Hao Yan Chen Zhang S. Hoi 13 7 0 22 Sep 2020
Random Forest (RF) Kernel for Regression, Classification and Survival Dai Feng R. Baumgartner 11 3 0 31 Aug 2020
Interpretable Learning-to-Rank with Generalized Additive Models Honglei Zhuang Xuanhui Wang Michael Bendersky Alexander Grushetsky Yonghui Wu Petr Mitrichev Ethan Sterling Nathan Bell Walker Ravina Hai Qian AI4CE FAtt 21 12 0 06 May 2020
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice Anderson Ara M. Maia Samuel Macêdo F. Louzada 13 0 0 27 Mar 2020
Reluctant generalized additive modeling J. K. Tay Robert Tibshirani 19 1 0 04 Dec 2019
Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data Xu Han 11 7 0 03 Dec 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 16 2 0 30 Jul 2019
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression Ting Yang Zhiqiang Tan 22 2 0 16 Jun 2019
RKHSMetaMod: An R package to estimate the Hoeffding decomposition of a complex model by solving RKHS ridge group sparse optimization problem Halaleh Kamari S. Huet M. Taupin 11 0 0 31 May 2019
Extreme Eigenvalues of Nonlinear Correlation Matrices with Applications to Additive Models Zijian Guo Cun-Hui Zhang 11 3 0 29 Apr 2019
Sparse Tensor Additive Regression Botao Hao Boxiang Wang Pengyuan Wang Jingfei Zhang Jian Yang W. Sun MedIm 24 26 0 31 Mar 2019
Generalized Sparse Additive Models Asad Haris N. Simon Ali Shojaie 11 15 0 11 Mar 2019
Sparse Linear Isotonic Models Sheng Chen A. Banerjee 14 3 0 16 Oct 2017
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs Yingying Fan Emre Demirkaya Gaorong Li Jinchi Lv 23 70 0 31 Aug 2017
A sure independence screening procedure for ultra-high dimensional partially linear additive models Mohammad Kazemi D. Shahsavani M. Arashi 32 7 0 29 Aug 2017
Binarsity: a penalization for one-hot encoded features in linear supervised learning Mokhtar Z. Alaya Simon Bussy Stéphane Gaïffas Agathe Guilloux 26 30 0 24 Mar 2017
Impact of subsampling and pruning on random forests Roxane Duroux Erwan Scornet 39 13 0 14 Mar 2016
Functional additive regression Yingying Fan Gareth M. James P. Radchenko 35 138 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 27 17 0 14 Oct 2015
Generalized Additive Model Selection Alexandra Chouldechova Trevor Hastie 33 80 0 11 Jun 2015
Random forests and kernel methods Erwan Scornet 48 225 0 12 Feb 2015
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification Jianqing Fan Yang Feng Jiancheng Jiang X. Tong 63 42 0 31 Dec 2013
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 47 319 0 06 Oct 2013
Bayesian Quantile Regression for Partially Linear Additive Models Yuao Hu Kaifeng Zhao H. Lian 54 28 0 10 Jul 2013
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 80 63 0 21 Apr 2012
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 61 155 0 02 Dec 2011