Follow
Emile Richard
Emile Richard
Verified email at amazon.com
Title
Cited by
Cited by
Year
A statistical model for tensor PCA
E Richard, A Montanari
Advances in neural information processing systems 27, 2014
2852014
Estimation of simultaneously sparse and low rank matrices
E Richard, PA Savalle, N Vayatis
arXiv preprint arXiv:1206.6474, 2012
2192012
Non-negative principal component analysis: Message passing algorithms and sharp asymptotics
A Montanari, E Richard
IEEE Transactions on Information Theory 62 (3), 1458-1484, 2015
1132015
Content contributor management and network effects in a UGC environment
K Zhang, T Evgeniou, V Padmanabhan, E Richard
Marketing Science 31 (3), 433-447, 2012
872012
Tight convex relaxations for sparse matrix factorization
E Richard, GR Obozinski, JP Vert
Advances in neural information processing systems 27, 2014
492014
Cone-constrained principal component analysis
Y Deshpande, A Montanari, E Richard
Advances in Neural Information Processing Systems 27, 2014
432014
Cone-constrained principal component analysis
Y Deshpande, A Montanari, E Richard
Advances in Neural Information Processing Systems 27, 2014
432014
Link prediction in graphs with autoregressive features
E Richard, S Gaïffas, N Vayatis
The Journal of Machine Learning Research 15 (1), 565-593, 2014
422014
Recognizing retinal ganglion cells in the dark
E Richard, GA Goetz, EJ Chichilnisky
Advances in Neural Information Processing Systems 28, 2015
402015
Link discovery using graph feature tracking
E Richard, N Baskiotis, T Evgeniou, N Vayatis
Advances in Neural Information Processing Systems 23, 2010
322010
Extragradient method in optimization: Convergence and complexity
TP Nguyen, E Pauwels, E Richard, BW Suter
Journal of Optimization Theory and Applications 176, 137-162, 2018
202018
Intersecting singularities for multi-structured estimation
E Richard, B Francis, JP Vert
International Conference on Machine Learning, 1157-1165, 2013
202013
Link prediction in graphs with autoregressive features
E Richard, S Gaiffas, N Vayatis
Advances in neural information processing systems 25, 2012
132012
A regularization approach for prediction of edges and node features in dynamic graphs
E Richard, A Argyriou, T Evgeniou, N Vayatis
arXiv preprint arXiv:1203.5438, 2012
12012
A statistical model for tensor PCA
A Montanari, E Richard
arXiv preprint arXiv:1411.1076, 2014
2014
Regularization methods for prediction in dynamic graphs and e-marketing applications
E Richard
École normale supérieure de Cachan-ENS Cachan, 2012
2012
Graph Prediction in a Low-Rank and Autoregressive Setting
E Richard, PA Savalle, N Vayatis
arXiv preprint arXiv:1205.1406, 2012
2012
Supplement to “Cone-Constrained Principal Component Analysis”
Y Deshpande, A Montanari, E Richard
Link Prediction in Graphs with Autoregressive
E Richard, S Gaïffas, N Vayatis
ICML 2012
E Richard, PA Savalle, N Vayatis
The system can't perform the operation now. Try again later.
Articles 1–20