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Nearly optimal minimax estimator for high-dimensional sparse linear regression
27 June 2012
Li Zhang
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Papers citing
"Nearly optimal minimax estimator for high-dimensional sparse linear regression"
6 / 6 papers shown
On the minimax rate of the Gaussian sequence model under bounded convex constraints
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
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Subsampling Winner Algorithm for Feature Selection in Large Regression Data
Yiying Fan
Jiayang Sun
133
1
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07 Feb 2020
A note on the approximate admissibility of regularized estimators in the Gaussian sequence model
Xi Chen
Adityanand Guntuboyina
Yuchen Zhang
203
9
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01 Mar 2017
An Improved Private Mechanism for Small Databases
Aleksandar Nikolov
181
12
0
01 May 2015
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry
Kunal Talwar
Abhradeep Thakurta
Li Zhang
279
57
0
20 Nov 2014
On Bayes Risk Lower Bounds
Journal of machine learning research (JMLR), 2014
Xinyu Chen
Adityanand Guntuboyina
Yuchen Zhang
583
50
0
02 Oct 2014
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