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On Computationally Tractable Selection of Experiments in
  Measurement-Constrained Regression Models

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models

9 January 2016
Yining Wang
Adams Wei Yu
Aarti Singh
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Papers citing "On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models"

3 / 3 papers shown
Title
Active and passive learning of linear separators under log-concave
  distributions
Active and passive learning of linear separators under log-concave distributions
Maria-Florina Balcan
Philip M. Long
65
148
0
06 Nov 2012
The Lasso Problem and Uniqueness
The Lasso Problem and Uniqueness
Robert Tibshirani
166
552
0
01 Jun 2012
A tail inequality for quadratic forms of subgaussian random vectors
A tail inequality for quadratic forms of subgaussian random vectors
Daniel J. Hsu
Sham Kakade
Tong Zhang
110
420
0
13 Oct 2011
1