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03/21/2016
Convex block-sparse linear regression with expanders -- provably
Sparse matrices are favorable objects in machine learning and optimizati...
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10/21/2015
Learning-based Compressive Subsampling
The problem of recovering a structured signal x∈C^p from a set of dimens...
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03/25/2013
On Sparsity Inducing Regularization Methods for Machine Learning
During the past years there has been an explosion of interest in learnin...
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03/13/2013
Group-Sparse Model Selection: Hardness and Relaxations
Group-based sparsity models are proven instrumental in linear regression...
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10/18/2012
Optimal Computational Trade-Off of Inexact Proximal Methods
In this paper, we investigate the trade-off between convergence rate and...
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05/21/2012
Conditional mean embeddings as regressors - supplementary
We demonstrate an equivalence between reproducing kernel Hilbert space (...
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06/26/2011