Search Results for author:
Found 3 papers, 0 papers with code
On the Minimax Risk of Dictionary Learning
The main conceptual contribution of this paper is the adaption of the information-theoretic approach to minimax estimation for the DL problem in order to derive lower bounds on the worst case MSE of any DL scheme.
Graphical LASSO Based Model Selection for Time Series
We propose a novel graphical model selection (GMS) scheme for high-dimensional stationary time series or discrete time process.
Performance Limits of Dictionary Learning for Sparse Coding
We consider the problem of dictionary learning under the assumption that the observed signals can be represented as sparse linear combinations of the columns of a single large dictionary matrix.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
