Search Results for author: G. Meyer

Found 3 papers, 0 papers with code

Fixed-rank matrix factorizations and Riemannian low-rank optimization

no code implementations3 Sep 2012 B. Mishra, G. Meyer, S. Bonnabel, R. Sepulchre

Motivated by the problem of learning a linear regression model whose parameter is a large fixed-rank non-symmetric matrix, we consider the optimization of a smooth cost function defined on the set of fixed-rank matrices.

Low-Rank Matrix Completion

Low-rank optimization with trace norm penalty

no code implementations11 Dec 2011 B. Mishra, G. Meyer, F. Bach, R. Sepulchre

The fixed-rank optimization is characterized by an efficient factorization that makes the trace norm differentiable in the search space and the computation of duality gap numerically tractable.

Low-Rank Matrix Completion

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