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ARC Colloquium: Tong Zhang, Rutgers University
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Abstract:
I will talk about recovery results for some sparsity related regularization problems under stochastic noise.
First, I will discuss standard sparsity, and focus on results under different conditions for relaxation methods (including Lasso) versus greedy algorithms (including orthogonal matching pursuit).
Second, I will discuss results for more complexity vector regularization formulations with structured sparsity.
Third, I will present some recent results for mixed sparsity and low-rank matrix regularization.
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Status
- Workflow status: Published
- Created by: Elizabeth Ndongi
- Created: 11/16/2011
- Modified By: Fletcher Moore
- Modified: 10/07/2016
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