Rodolphe Sepulchre, June 2013: Difference between revisions
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{{agenda item|12:00p|Seminar, 213 ANB}} | {{agenda item|12:00p|Seminar, 213 ANB}} | ||
{{agenda item|1:00p|Lunch with Venkat, CMS faculty}} | {{agenda item|1:00p|Lunch with Venkat, CMS faculty}} | ||
{{agenda item|2:15p| | {{agenda item|2:15p|Venkat Chandrasekaran, 300 Annenberg}} | ||
{{agenda item|3:00p|Open}} | {{agenda item|3:00p|Open}} | ||
{{agenda item|3:45p|Open}} | {{agenda item|3:45p|Open}} |
Revision as of 22:54, 28 May 2013
Rodolphe Sepulchre will visit Caltech on 3 June 2013 (Mon).
Agenda
9:30a | Richard Murray, 109 Steele Lab |
9:45a | Meet with Richard's NCS group, 110 Steele
|
11:45 | Seminar setup |
12:00p | Seminar, 213 ANB |
1:00p | Lunch with Venkat, CMS faculty |
2:15p | Venkat Chandrasekaran, 300 Annenberg |
3:00p | Open |
3:45p | Open |
4:30p | Andrea Censi) |
5:15p | Done |
Abstract
The geometry of (thin) SVD revisited for large-scale computations
Rodolphe Sepulchre
University of Liege, Belgium
The talk will introduce a riemannian framework for large-scale computations over the set of low-rank matrices. The foundation is geometric and the motivation is algorithmic, with a bias towards efficient computations in large-scale problems. We will explore how classical matrix factorizations connect the riemannian geometry of the set of fixed-rank matrices to two well-studied manifolds: the Grassmann manifold of linear subspaces and the cone of positive definite matrices. The theory will be illustrated on various applications, including low-rank Kalman filtering, linear regression with low-rank priors, matrix completion, and the choice of a suitable