The out-of-sample prediction error of the square-root-LASSO and related estimators

Type: Preprint

Publication Date: 2022-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2211.07608

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Suboptimality of constrained least squares and improvements via non-linear predictors 2022 Tomas Vaškevičius
Nikita Zhivotovskiy
+ Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors 2020 Tomas Vaškevičius
Nikita Zhivotovskiy
+ High-Dimensional Expected Shortfall Regression 2023 Shushu Zhang
Xuming He
Kean Ming Tan
Wen‐Xin Zhou
+ PDF Chat Randomized pick-freeze for sparse Sobol indices estimation in high dimension 2015 Yohann de Castro
Alexandre Janon
+ On the Sensitivity of the Lasso to the Number of Predictor Variables 2017 Cheryl Flynn
Clifford M. Hurvich
Jeffrey S. Simonoff
+ New insights for the multivariate square-root lasso 2019 Aaron J. Molstad
+ PDF Chat ℓ1-penalized quantile regression in high-dimensional sparse models 2010 Alexandre Belloni
Victor Chernozhukov
+ The Squared-Error of Generalized LASSO: A Precise Analysis 2013 Samet Oymak
Christos Thrampoulidis
Babak Hassibi
+ The Squared-Error of Generalized LASSO: A Precise Analysis 2013 Samet Oymak
Christos Thrampoulidis
Babak Hassibi
+ The Spike-and-Slab LASSO 2016 Veronika Ročková
Edward I. George
+ PDF Chat The squared-error of generalized LASSO: A precise analysis 2013 Samet Oymak
Christos Thrampoulidis
Babak Hassibi
+ Insights and algorithms for the multivariate square-root lasso 2019 Aaron J. Molstad
+ Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions 2020 Kamiar Rahnama Rad
Wenda Zhou
Arian Maleki
+ Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions 2020 Kamiar Rahnama Rad
Wenda Zhou
Arian Maleki
+ Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions 2020 Kamiar Rahnama Rad
Wenda Zhou
Arian Maleki
+ PDF Chat Selective inference with unknown variance via the square-root lasso 2018 Xiaoying Tian
Joshua R. Loftus
Jonathan Taylor
+ Risk-consistency of cross-validation with lasso-type procedures 2013 Darren Homrighausen
Daniel J. McDonald
+ Risk-consistency of cross-validation with lasso-type procedures 2013 Darren Homrighausen
Daniel J. McDonald
+ High-dimensional Measurement Error Models for Lipschitz Loss 2022 Xin Ma
Suprateek Kundu
+ PDF Chat Minimum Distance Lasso for robust high-dimensional regression 2016 Aurélie Lozano
Nicolai Meinshausen
Eunho Yang

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors