Degrees of freedom in lasso problems

2 November 2011

Papers citing "Degrees of freedom in lasso problems"

43 / 43 papers shown

Title
Robust Elastic Net Estimators for High Dimensional Generalized Linear Models Marina Valdora Claudio Agostinelli OOD 17 0 0 07 Dec 2023
Information criteria for structured parameter selection in high dimensional tree and graph models M. Jansen 21 3 0 24 Jun 2023
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers Parth Nobel Emmanuel Candès Stephen P. Boyd ELM LLMSV 31 5 0 11 Nov 2022
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series J. Vilar L. Saiz 27 6 0 16 Sep 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 25 0 0 20 Jan 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu-Xiang Wang Addison J. Hu R. Tibshirani 21 7 0 29 Dec 2021
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques Natalia L. Oliveira Jing Lei R. Tibshirani 27 10 0 17 Nov 2021
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients Fan Wang Oscar Hernan Madrid Padilla Yi Yu Alessandro Rinaldo 22 5 0 27 Oct 2021
The R package sentometrics to compute, aggregate and predict with textual sentiment David Ardia Keven Bluteau S. Borms Kris Boudt 11 22 0 20 Oct 2021
Lattice partition recovery with dyadic CART Oscar Hernan Madrid Padilla Yi Yu Alessandro Rinaldo 21 4 0 27 May 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby Xuandong Zhao Yu-Xiang Wang 19 12 0 23 Jan 2021
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints Q. Han B. Sen Yandi Shen 31 3 0 07 Oct 2020
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation Barbara Pascal Samuel Vaiter N. Pustelnik P. Abry 30 18 0 20 Apr 2020
Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems R. Tibshirani 6 18 0 09 Mar 2020
Aggregated hold out for sparse linear regression with a robust loss function G. Maillard FedML 19 1 0 26 Feb 2020
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions Shuaiwen Wang Wenda Zhou Haihao Lu A. Maleki Vahab Mirrokni 24 34 0 07 Jul 2018
Algorithms for Estimating Trends in Global Temperature Volatility Arash Khodadadi D. McDonald 31 4 0 18 May 2018
Diversity and degrees of freedom in regression ensembles Henry W. J. Reeve Gavin Brown UQCV 25 22 0 01 Mar 2018
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? R. Tibshirani Saharon Rosset 19 20 0 30 Dec 2016
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 42 145 0 30 Nov 2016
Algorithms for Fitting the Constrained Lasso Brian R. Gaines Hua Zhou 21 119 0 28 Oct 2016
Bounds on the prediction error of penalized least squares estimators with convex penalty Pierre C. Bellec Alexandre B. Tsybakov 13 43 0 21 Sep 2016
The DFS Fused Lasso: Linear-Time Denoising over General Graphs Oscar Hernan Madrid Padilla James G. Scott James Sharpnack R. Tibshirani FedML 41 67 0 11 Aug 2016
Prediction risk for the horseshoe regression A. Bhadra J. Datta Yunfan Li Nicholas G. Polson Brandon T. Willard 12 16 0 16 May 2016
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 29 80 0 07 May 2016
Degrees of Freedom for Piecewise Lipschitz Estimators Frederik Riis Mikkelsen N. Hansen 19 12 0 14 Jan 2016
Statistical Properties of Convex Clustering Kean Ming Tan Daniela Witten 30 89 0 28 Mar 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
False discovery rate smoothing Wesley Tansey Oluwasanmi Koyejo R. Poldrack James G. Scott 31 46 0 22 Nov 2014
Optimal Two-Step Prediction in Regression Didier Chételat Johannes Lederer Joseph Salmon 40 19 0 18 Oct 2014
Convex Modeling of Interactions with Strong Heredity Asad Haris Daniela Witten N. Simon 27 59 0 13 Oct 2014
An Ordered Lasso and Sparse Time-Lagged Regression Xiaotong Suo Robert Tibshirani OOD AI4TS 56 32 0 26 May 2014
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection Charles-Alban Deledalle Samuel Vaiter M. Fadili Gabriel Peyré 47 118 0 06 May 2014
The Degrees of Freedom of Partly Smooth Regularizers Samuel Vaiter Charles-Alban Deledalle M. Fadili Gabriel Peyré C. Dossal 97 49 0 22 Apr 2014
A new perspective on least squares under convex constraint S. Chatterjee 53 114 0 04 Feb 2014
Adaptive piecewise polynomial estimation via trend filtering R. Tibshirani 43 394 0 10 Apr 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor R. Tibshirani Robert Tibshirani 74 656 0 30 Jan 2013
Leave-one-out cross-validation is risk consistent for lasso D. Homrighausen D. McDonald 40 43 0 26 Jun 2012
The Lasso Problem and Uniqueness R. Tibshirani 32 546 0 01 Jun 2012
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 42 483 0 22 May 2012
The Degrees of Freedom of the Group Lasso Samuel Vaiter Charles-Alban Deledalle Gabriel Peyré Jalal Fadili C. Dossal 55 27 0 07 May 2012
Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation Samuel Vaiter Charles-Alban Deledalle Gabriel Peyré C. Dossal Jalal Fadili 88 41 0 14 Apr 2012
The degrees of freedom of the Lasso for general design matrix C. Dossal M. Kachour Jalal Fadili Gabriel Peyré C. Chesneau 82 35 0 04 Nov 2011