Emile Richard
Emile Richard
Verified email at stanford.edu - Homepage
TitleCited byYear
Estimation of simultaneously sparse and low rank matrices
E Richard, PA Savalle, N Vayatis
arXiv preprint arXiv:1206.6474, 2012
1402012
A statistical model for tensor PCA
E Richard, A Montanari
Advances in Neural Information Processing Systems, 2897-2905, 2014
832014
A statistical model for tensor PCA
E Richard, A Montanari
Advances in Neural Information Processing Systems, 2897-2905, 2014
832014
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
562012
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
442015
Tight convex relaxations for sparse matrix factorization
E Richard, GR Obozinski, JP Vert
Advances in neural information processing systems, 3284-3292, 2014
402014
Link prediction in graphs with autoregressive features
E Richard, S Ga´ffas, N Vayatis
The Journal of Machine Learning Research 15 (1), 565-593, 2014
302014
Link discovery using graph feature tracking
E Richard, N Baskiotis, T Evgeniou, N Vayatis
Advances in Neural Information Processing Systems, 1966-1974, 2010
272010
Cone-constrained principal component analysis
Y Deshpande, A Montanari, E Richard
Advances in Neural Information Processing Systems, 2717-2725, 2014
162014
Intersecting singularities for multi-structured estimation
E Richard, B Francis, JP Vert
International Conference on Machine Learning, 1157-1165, 2013
162013
Recognizing retinal ganglion cells in the dark
E Richard, GA Goetz, EJ Chichilnisky
Advances in Neural Information Processing Systems, 2476-2484, 2015
122015
Link prediction in graphs with autoregressive features
E Richard, S Gaiffas, N Vayatis
Advances in neural information processing systems, 2834-2842, 2012
112012
Crystalline structure of accretion disks: Features of a global model
G Montani, R Benini
Physical Review E 84 (2), 026406, 2011
112011
Extragradient method in optimization: Convergence and complexity
TP Nguyen, E Pauwels, E Richard, BW Suter
Journal of Optimization Theory and Applications 176 (1), 137-162, 2018
52018
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
Regularization methods for prediction in dynamic graphs and e-marketing applications
E Richard
2012
Graph Prediction in a Low-Rank and Autoregressive Setting
E Richard, PA Savalle, N Vayatis
arXiv preprint arXiv:1205.1406, 2012
2012
ICML 2012
E Richard, PA Savalle, N Vayatis
Semi-algebraic approaches to doubly sparse problems
J Bolte, V Perchet, E Richard, PA Savalle, N Vayatis
Supplement to “Cone-Constrained Principal Component Analysis”
Y Deshpande, A Montanari, E Richard
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Articles 1–20