On the prediction loss of the lasso in the partially labeled setting

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On the prediction loss of the lasso in the partially labeled setting

20 June 2016

Pierre C. Bellec

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Papers citing "On the prediction loss of the lasso in the partially labeled setting"

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Title
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 55 1 0 19 Feb 2023
Optimality of Matched-Pair Designs in Randomized Controlled Trials Yuehao Bai 85 53 0 15 Jun 2022
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction Oren Yuval Saharon Rosset 50 3 0 01 Sep 2020
The noise barrier and the large signal bias of the Lasso and other convex estimators Pierre C. Bellec 63 18 0 04 Apr 2018
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 51 17 0 30 May 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 229 11 0 31 Jan 2017
Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood A. Dalalyan M. Sebbar FedML 75 9 0 18 Jan 2017
On the Exponentially Weighted Aggregate with the Laplace Prior A. Dalalyan Edwin Grappin Q. Paris 53 19 0 25 Nov 2016
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 110 24 0 01 Aug 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 119 99 0 28 Mar 2016