See also my ULg-ORBi repository.
Some of the following publications are copyrighted by their respective publishers.
Downloadable versions are not necessarily identical to the published versions.
They are made available here for personal use only.

Technical report

B. Mishra, G. Meyer, F. Bach, R. Sepulchre
Low-rank optimization with trace norm penalty
Technical report (arXiv 1112.2318), 2011

Journal paper

G. Meyer, S. Bonnabel and R. Sepulchre
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
Journal of Machine Learning Research, 12(Feb):593−625, 2011.

Conference papers

G. Meyer, S. Bonnabel and R. Sepulchre
Linear regression under fixed-rank constraints: a Riemannian approach
Proc. of the 28th International Conference on Machine Learning (ICML2011), Bellevue (USA), 2011
B. Mishra, G. Meyer and R. Sepulchre
Low-rank optimization for distance matrix completion
50th IEEE Conference on Decision and Control, Orlando (USA), 2011
G. Meyer, S. Bonnabel and R. Sepulchre
Rank-constrained linear regression: a Riemannian approach
Low-rank Methods for Large-scale Machine Learning, NIPS Workshop, Whistler (Canada), 2010
Presentation of a poster
S. Bonnabel, G. Meyer and R. Sepulchre
Adaptive filtering for estimation of a low-rank positive semidefinite matrix
Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS2010), Budapest (Hungary), 2010
G. Meyer, M. Journée, S. Bonnabel and R. Sepulchre
From subspace learning to distance learning: a geometrical optimization approach
Proc. of the 15th Workshop on Statistical Signal Processing (SSP2009), Cardiff (Wales), 2009

PhD thesis

G. Meyer
Geometric optimization algorithms for linear regression on fixed-rank matrices
PhD thesis, University of Liège, 2011.

Conference abstracts and posters

G. Meyer, S. Bonnabel and R. Sepulchre
Rank-constrained linear regression: a Riemannian approach
30th Benelux Meeting in Systems and Control, Lommel (Belgium), 2011
Oral presentation
G. Meyer, S. Bonnabel and R. Sepulchre
Regression on fixed-rank positive semidefinite matrices: a geometric approach
24th Annual Conference of the Belgian Operations Research Society (Orbel), Liège (Belgium), 2010
Oral presentation
G. Meyer, S. Bonnabel and R. Sepulchre
Regression on fixed-rank positive semidefinite matrices: a geometric approach
29th Benelux Meeting in Systems and Control, Heeze (The Netherlands), 2009
Oral presentation
G. Meyer, P. Geurts and R. Sepulchre
Biological network completion with kernel learning algorithms
Benelux bioinformatic conference, Liège (Belgium), 2009
Presentation of a poster
G. Meyer, S. Bonnabel and R. Sepulchre
Stochastic learning of fixed-rank positive semidefinite matrices
IAP Study day, Mons (Belgium), 2009
Presentation of a poster
G. Meyer, S. Bonnabel and R. Sepulchre
Stochastic learning of fixed-rank positive semidefinite matrices
28th Benelux Meeting in Systems and Control, Spa (Belgium), 2009
Oral presentation
G. Meyer and R. Sepulchre
Component analysis for genome-wide association studies
Benelearn conference, Spa (Belgium), 2008
Oral presentation
G. Meyer and R. Sepulchre
Component analysis for genome-wide association studies
27th Benelux Meeting in Systems and Control, Spa (Belgium), 2008
Oral presentation
G. Meyer, M. Journée and R. Sepulchre
Component analysis for classification based on gene expression data
Benelux bioinformatic conference, Leuven (Belgium), 2007
Presentation of a poster