Rank-constrained linear regression: a Riemannian approach

Meyer, Gilles; Bonnabel, Silvère; Sepulchre, Rodolphe

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Rank-constrained linear regression: a Riemannian approach

Meyer, Gilles; Bonnabel, Silvère; Sepulchre, Rodolphe

2010 • Low-rank Methods for Large-scale Machine Learning, NIPS Workshop

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https://hdl.handle.net/2268/115169

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Keywords :

low-rank; linear regression; geometric optimization algorithms

Research Center/Unit :

Systems and Modeling

Disciplines :

Computer science

Author, co-author :

Meyer, Gilles ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Bonnabel, Silvère; Mines ParisTech > Robotics Center

Sepulchre, Rodolphe ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Language :

English

Title :

Rank-constrained linear regression: a Riemannian approach

Publication date :

December 2010

Event name :

Low-rank Methods for Large-scale Machine Learning, NIPS Workshop

Event place :

Whistler, Canada

Event date :

11-12-2010

Audience :

International

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

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since 22 March 2012

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