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Gilles Meyer
Gilles Meyer
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Low-rank optimization with trace norm penalty
B Mishra, G Meyer, F Bach, R Sepulchre
SIAM Journal on Optimization 23 (4), 2124-2149, 2013
1502013
Fixed-rank matrix factorizations and Riemannian low-rank optimization
B Mishra, G Meyer, S Bonnabel, R Sepulchre
Computational Statistics 29, 591-621, 2014
1392014
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
G Meyer, S Bonnabel, R Sepulchre
The Journal of Machine Learning Research 12, 593-625, 2011
872011
Linear regression under fixed-rank constraints: a Riemannian approach
G Meyer, S Bonnabel, R Sepulchre
28th International Conference on Machine Learning, 2011
852011
Low-rank optimization for distance matrix completion
B Mishra, G Meyer, R Sepulchre
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
782011
Geometric optimization algorithms for linear regression on fixed-rank matrices
G Meyer
ULiège-Université de Liège, 2011
372011
Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries
PA Absil, L Amodei, G Meyer
Computational Statistics 29, 569-590, 2014
332014
Adaptive filtering for estimation of a low-rank positive semidefinite matrix
S Bonnabel, G Meyer, R Sepulchre
19th International Symposium on Mathematical Theory of Networks and Systems …, 2010
92010
Regression on fixed-rank positive semidefinite matrices: a geometric approach
G Meyer, S Bonnabel, R Sepulchre
submitted to Journal of Machine Learning Research, 2010
22010
Rank-constrained linear regression: a Riemannian approach
G Meyer, S Bonnabel, R Sepulchre
Low-rank Methods for Large-scale Machine Learning, NIPS Workshop, 2010
2010
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