Papers

Recognizing retinal ganglion cells in the dark with Georges Goetz and E.J. Chichilnisky Proceedings of Neural Information Processing Systems, 2015

Non-negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics with Andrea Montanari IEEE Transactions on Information Theory, 2015

Tight convex relaxations for sparse matrix factorization with Guillaume Obozinsky and Jean-Philippe Vert Proceedings of Neural Information Processing Systems, 2014 see also http://arxiv.org/abs/1407.5158

Cone-Constrained Principal Component Analysis with Yash Deshpande and Andrea Montanari Proceedings of Neural Information Processing Systems, 2014

A statistical model for tensor PCA with Andrea Montanari Proceedings of Neural Information Processing Systems, 2014 see also http://arxiv.org/abs/1411.1076

Link Prediction in Graphs with Autoregressive Features with Stephane Gaiffas and Nicolas Vayatis Journal of Machine Learning Research, 2014, see also the conference version appeared in Proceedings of Neural Information Processing Systems, 2012

Intersecting singularities for multi-structured estimation with Francis Bach and Jean-Philippe Vert Proceedings of International Conference in Machine Learning, 2013

Estimation of Simultaneously Sparse and Low Rank Matrices with Pierre-Andre Savalle and Nicolas Vayatis Proceedings of International Conference in Machine Learning, 2012

Content contributor asset management and network effects in a UGC environment , with Kaifu Zhang, Theodoros Evgeniou and V. Padmanabhan, Marketing Science 2011

Link Discovery using Graph Feature Tracking with Nicolas Baskiotis, Theodoros Evgeniou and Nicolas Vayatis Proceedings of Neural Information Processing Systems, 2010