| A statistical model for tensor PCA E Richard, A Montanari Advances in neural information processing systems 27, 2014 | 318 | 2014 |
| Estimation of simultaneously sparse and low rank matrices E Richard, PA Savalle, N Vayatis arXiv preprint arXiv:1206.6474, 2012 | 236 | 2012 |
| 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 | 123 | 2015 |
| 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 | 93 | 2012 |
| Tight convex relaxations for sparse matrix factorization E Richard, GR Obozinski, JP Vert Advances in neural information processing systems 27, 2014 | 51 | 2014 |
| Recognizing retinal ganglion cells in the dark E Richard, GA Goetz, EJ Chichilnisky Advances in Neural Information Processing Systems 28, 2015 | 45 | 2015 |
| Cone-constrained principal component analysis Y Deshpande, A Montanari, E Richard Advances in Neural Information Processing Systems 27, 2014 | 43 | 2014 |
| Link prediction in graphs with autoregressive features E Richard, S Gaïffas, N Vayatis The Journal of Machine Learning Research 15 (1), 565-593, 2014 | 43 | 2014 |
| Link discovery using graph feature tracking E Richard, N Baskiotis, T Evgeniou, N Vayatis Advances in Neural Information Processing Systems 23, 2010 | 31 | 2010 |
| 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 | 21 | 2018 |
| Intersecting singularities for multi-structured estimation E Richard, B Francis, JP Vert International Conference on Machine Learning, 1157-1165, 2013 | 21 | 2013 |
| Monitoring the principal with multiple agents G Srabana, ER Richard Rand Journal of Economics 29 (2), 733-248, 1998 | 15 | 1998 |
| Link prediction in graphs with autoregressive features E Richard, S Gaiffas, N Vayatis Advances in neural information processing systems 25, 2012 | 14 | 2012 |
| 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 | 2 | 2012 |
| 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 |
| Depth Extrapolation of Decoders Trained on Nested Structures ER Richard NeurIPS 2024 Workshop on Mathematics of Modern Machine Learning, 0 | | |
| 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 | | |
