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On the Prediction Performance of the Lasso

7 February 2014

Papers citing "On the Prediction Performance of the Lasso"

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Title
Joint estimation of smooth graph signals from partial linear measurements Hemant Tyagi 44 0 0 29 May 2025
Statistical guarantees for sparse deep learning Johannes Lederer 40 11 0 11 Dec 2022
Variance estimation in graphs with the fused lasso Oscar Hernan Madrid Padilla 170 5 0 26 Jul 2022
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs Jonathan A. Kelner Frederic Koehler Raghu Meka Dhruv Rohatgi 45 3 0 05 Mar 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu Wang Addison J. Hu Robert Tibshirani 67 7 0 29 Dec 2021
Tensor denoising with trend filtering Francesco Ortelli Sara van de Geer 72 5 0 26 Jan 2021
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Sheng Xu Z. Fan S. Negahban 61 0 0 31 May 2020
Statistical Guarantees for Regularized Neural Networks Mahsa Taheri Fang Xie Johannes Lederer 113 39 0 30 May 2020
Bayesian Model Selection for Change Point Detection and Clustering Othmane Mazhar C. Rojas Carlo Fischione M. Hesamzadeh 82 4 0 03 Dec 2019
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees S. Chatterjee Subhajit Goswami 125 18 0 26 Nov 2019
ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels Chinot Geoffrey 74 13 0 24 Oct 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 102 33 0 29 May 2019
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements Sheng Xu Z. Fan 46 6 0 15 May 2019
Estimating Piecewise Monotone Signals Kentaro Minami 52 10 0 06 May 2019
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation Billy Fang Adityanand Guntuboyina B. Sen 96 32 0 04 Mar 2019
Oracle inequalities for square root analysis estimators with application to total variation penalties Francesco Ortelli Sara van de Geer 48 6 0 28 Feb 2019
Sparse Regression and Adaptive Feature Generation for the Discovery of Dynamical Systems C. S. Kulkarni 83 10 0 07 Feb 2019
New Risk Bounds for 2D Total Variation Denoising S. Chatterjee Subhajit Goswami 91 21 0 04 Feb 2019
Prediction and estimation consistency of sparse multi-class penalized optimal scoring Irina Gaynanova 63 11 0 12 Sep 2018
Frame-constrained Total Variation Regularization for White Noise Regression Miguel del Álamo Ruiz Housen Li Axel Munk 87 13 0 05 Jul 2018
On the total variation regularized estimator over a class of tree graphs Francesco Ortelli Sara van de Geer 47 19 0 04 Jun 2018
The noise barrier and the large signal bias of the Lasso and other convex estimators Pierre C. Bellec 63 18 0 04 Apr 2018
On tight bounds for the Lasso Sara van de Geer 55 18 0 03 Apr 2018
Rare Feature Selection in High Dimensions Xiaohan Yan Jacob Bien 71 39 0 18 Mar 2018
Estimating the error variance in a high-dimensional linear model Guo Yu Jacob Bien 72 39 0 06 Dec 2017
Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications Rui Zhuang Johannes Lederer 73 15 0 09 Oct 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 89 36 0 18 Aug 2017
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low Rahul Mazumder P. Radchenko Antoine Dedieu 439 59 0 10 Aug 2017
On Lasso refitting strategies Evgenii Chzhen Mohamed Hebiri Joseph Salmon 110 19 0 17 Jul 2017
Binarsity: a penalization for one-hot encoded features in linear supervised learning Mokhtar Z. Alaya Simon Bussy Stéphane Gaïffas Agathe Guilloux 121 31 0 24 Mar 2017
Cross-Validation with Confidence Jing Lei 105 87 0 23 Mar 2017
Approximate $l_0$ -penalized estimation of piecewise-constant signals on graphs Z. Fan Leying Guan 71 21 0 04 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering Adityanand Guntuboyina Donovan Lieu S. Chatterjee B. Sen 82 67 0 16 Feb 2017
On the Exponentially Weighted Aggregate with the Laplace Prior A. Dalalyan Edwin Grappin Q. Paris 49 19 0 25 Nov 2016
$Tuning parameter calibration for $\ell_1$-regularized logistic regression$ Tuning parameter calibration for $\ell_1$ -regularized logistic regression Wei Li Johannes Lederer 93 13 0 01 Oct 2016
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression Mahsa Taheri Néhémy Lim Johannes Lederer 59 4 0 23 Sep 2016
Bounds on the prediction error of penalized least squares estimators with convex penalty Pierre C. Bellec Alexandre B. Tsybakov 131 43 0 21 Sep 2016
The DFS Fused Lasso: Linear-Time Denoising over General Graphs Oscar Hernan Madrid Padilla James G. Scott James Sharpnack Robert Tibshirani FedML 117 67 0 11 Aug 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 92 24 0 01 Aug 2016
$Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates$ Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates Kevin Lin James Sharpnack Alessandro Rinaldo Robert Tibshirani 73 27 0 21 Jun 2016
Slope meets Lasso: improved oracle bounds and optimality Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 326 192 0 27 May 2016
Optimal rates for total variation denoising Jan-Christian Hütter Philippe Rigollet 81 33 0 30 Mar 2016
Regression modeling on stratified data with the lasso E. Ollier V. Viallon 59 32 0 22 Aug 2015
Sharp oracle bounds for monotone and convex regression through aggregation Pierre C. Bellec Alexandre B. Tsybakov 101 35 0 29 Jun 2015
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators Yuchen Zhang Martin J. Wainwright Michael I. Jordan 172 43 0 11 Mar 2015
Optimal Two-Step Prediction in Regression Didier Chételat Johannes Lederer Joseph Salmon 120 19 0 18 Oct 2014
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees M. Chichignoud Johannes Lederer Martin J. Wainwright 103 13 0 01 Oct 2014
Sparse Partially Linear Additive Models Yin Lou Jacob Bien R. Caruana J. Gehrke 121 58 0 17 Jul 2014
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection Jeremy A. Sabourin W. Valdar A. Nobel 124 35 0 08 Apr 2014
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX Johannes Lederer Christian L. Müller 99 55 0 02 Apr 2014