papers
Publications (7)
stat.ML2012
Graph Prediction in a Low-Rank and Autoregressive Setting
Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
cs.IT2014
Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics
Andrea Montanari, Emile Richard
cs.LG2014
A statistical model for tensor PCA
Andrea Montanari, Emile Richard
stat.ML2014
Tight convex relaxations for sparse matrix factorization
Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
stat.ML2012
Link Prediction in Graphs with Autoregressive Features
Emile Richard, Stephane Gaiffas, Nicolas Vayatis
math.OC2017
Extragradient Method in Optimization: Convergence and Complexity
Trong Phong Nguyen, Edouard Pauwels, Emile Richard +1
cs.LG2012
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs
Emile Richard, Andreas Argyriou, Theodoros Evgeniou +1