| Low-rank optimization with trace norm penalty B Mishra, G Meyer, F Bach, R Sepulchre SIAM Journal on Optimization 23 (4), 2124-2149, 2013 | 151 | 2013 |
| Fixed-rank matrix factorizations and Riemannian low-rank optimization B Mishra, G Meyer, S Bonnabel, R Sepulchre Computational Statistics 29, 591-621, 2014 | 142 | 2014 |
| 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 | 93 | 2011 |
| Linear regression under fixed-rank constraints: a Riemannian approach G Meyer, S Bonnabel, R Sepulchre 28th International Conference on Machine Learning, 2011 | 84 | 2011 |
| 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 | 76 | 2011 |
| Geometric optimization algorithms for linear regression on fixed-rank matrices G Meyer ULiège-Université de Liège, 2011 | 37 | 2011 |
| 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 | 34 | 2014 |
| 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 | 10 | 2010 |
| Regression on fixed-rank positive semidefinite matrices: a geometric approach G Meyer, S Bonnabel, R Sepulchre submitted to Journal of Machine Learning Research, 2010 | 2 | 2010 |
| 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 |
Rodolphe SepulchreProfessor of Engineering, KU Leuven and University of CambridgeVerified email at kuleuven.be
