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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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- Workflow Status:Published
- Created By:Elizabeth Ndongi
- Created:11/16/2011
- Modified By:Fletcher Moore
- Modified:10/07/2016
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