On tight bounds for the Lasso
From MaRDI portal
Publication:4558195
zbMath1467.62127arXiv1804.00989MaRDI QIDQ4558195
Publication date: 21 November 2018
Full work available at URL: https://arxiv.org/abs/1804.00989
Ridge regression; shrinkage estimators (Lasso) (62J07) Inequalities; stochastic orderings (60E15) Order statistics; empirical distribution functions (62G30)
Related Items
Adaptive risk bounds in univariate total variation denoising and trend filtering, On the total variation regularized estimator over a class of tree graphs, Sparse recovery under weak moment assumptions, Unnamed Item, Tensor denoising with trend filtering
Cites Work
- Unnamed Item
- Unnamed Item
- Estimation and testing under sparsity. École d'Été de Probabilités de Saint-Flour XLV -- 2015
- On higher order isotropy conditions and lower bounds for sparse quadratic forms
- On the prediction performance of the Lasso
- Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
- The Brunn-Minkowski inequality in Gauss space
- On concentration for (regularized) empirical risk minimization
- Adaptive estimation of a quadratic functional by model selection.
- Pivotal estimation via square-root lasso in nonparametric regression
- Scaled sparse linear regression
- Neighborliness of randomly projected simplices in high dimensions