High-dimensional generalized linear models and the lasso

4 April 2008

Papers citing "High-dimensional generalized linear models and the lasso"

50 / 65 papers shown

Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior Tien Mai 28 0 0 13 May 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan CML OOD 64 2 0 31 Dec 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 40 1 0 19 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 29 1 0 05 Mar 2024
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization Geng Li G. Wang Jie Ding 21 3 0 07 May 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting Jonathan B. Hill 29 0 0 22 Jan 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan P. Li 27 2 0 09 Jan 2023
$Tight bounds for maximum $\ell_1$-margin classifiers$ Tight bounds for maximum $\ell_1$ -margin classifiers Stefan Stojanovic Konstantin Donhauser Fanny Yang 29 0 0 07 Dec 2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 16 0 0 09 Nov 2022
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders S. Jun S. Lee 21 1 0 27 May 2022
Benign Overfitting in Time Series Linear Models with Over-Parameterization Shogo H. Nakakita Masaaki Imaizumi AI4TS 13 5 0 18 Apr 2022
High-dimensional nonconvex lasso-type $M$ -estimators Jad Beyhum Franccois Portier 22 0 0 12 Apr 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 26 12 0 17 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 33 21 0 02 Mar 2022
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation Shuyin Xia Xinyu Bai Guoyin Wang Deyu Meng Xinbo Gao Yunlong Cheng Elisabeth Giem 13 19 0 29 Dec 2021
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis Peili Li Yuling Jiao Xiliang Lu Lican Kang 25 2 0 21 Nov 2021
Infinite Feature Selection: A Graph-based Feature Filtering Approach Giorgio Roffo Simone Melzi U. Castellani Alessandro Vinciarelli Marco Cristani 23 107 0 15 Jun 2020
Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 27 148 0 16 May 2020
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 33 35 0 10 Aug 2019
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 21 285 0 19 Mar 2018
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 18 59 0 05 Feb 2017
Dynamic Pricing in High-dimensions Adel Javanmard Hamid Nazerzadeh 61 136 0 24 Sep 2016
MAGIC: a general, powerful and tractable method for selective inference Xiaoying Tian Nan Bi Jonathan E. Taylor 15 22 0 09 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 7 0 01 Jul 2016
Model selection in logistic regression Marius Kwemou M. Taupin A. Tocquet 13 3 0 30 Aug 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 40 42 0 23 Feb 2015
The Degrees of Freedom of Partly Smooth Regularizers Samuel Vaiter Charles-Alban Deledalle M. Fadili Gabriel Peyré C. Dossal 86 49 0 22 Apr 2014
A new perspective on least squares under convex constraint S. Chatterjee 43 114 0 04 Feb 2014
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification Jianqing Fan Yang Feng Jiancheng Jiang X. Tong 55 42 0 31 Dec 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 54 78 0 09 Apr 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 42 128 0 29 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 44 1,128 0 03 Mar 2013
The Lasso for High-Dimensional Regression with a Possible Change-Point S. Lee M. Seo Youngki Shin 60 124 0 21 Sep 2012
Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning S. Negahban Benjamin I. P. Rubinstein J. Gemmell 44 14 0 09 Aug 2012
Structured Estimation in Nonparameteric Cox Model Jelena Bradic R. Song 46 10 0 18 Jul 2012
Oracle inequalities for the Lasso in the high-dimensional Aalen multiplicative intensity model Sarah Lemler 32 9 0 25 Jun 2012
Endogeneity in high dimensions Jianqing Fan Yuan Liao 63 103 0 25 Apr 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 66 63 0 21 Apr 2012
Factor models and variable selection in high-dimensional regression analysis A. Kneip P. Sarda 56 53 0 23 Feb 2012
Robust rank correlation based screening Gaorong Li Heng Peng Jun Zhang Lixing Zhu 78 321 0 20 Dec 2010
PAC-Bayesian aggregation and multi-armed bandits Jean-Yves Audibert 91 21 0 15 Nov 2010
Stochastic Lipschitz continuity for high dimensional Lasso with multiple linear covariate structures or hidden linear covariates Zhiyi Chi 85 1 0 05 Nov 2010
Variable selection in nonparametric additive models Jian Huang J. Horowitz Fengrong Wei 99 547 0 20 Oct 2010
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 60 667 0 28 Sep 2010
Optimistic Rates for Learning with a Smooth Loss Nathan Srebro Karthik Sridharan Ambuj Tewari 73 277 0 20 Sep 2010
A local stochastic Lipschitz condition with application to Lasso for high dimensional generalized linear models Zhiyi Chi 59 4 0 06 Sep 2010
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 102 59 0 05 Mar 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 62 3,522 0 25 Feb 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 110 50 0 08 Feb 2010
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) Jianqing Fan Jinchi Lv 89 907 0 06 Oct 2009