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All publications by Nicolas L. Roux
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A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes and Guillaume R. Obozinski
Advances in Neural Information Processing Systems 25, 2012


A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt and Francis R. Bach
Advances in Neural Information Processing Systems 25, 2012


Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux and Francis R. Bach
Advances in Neural Information Processing Systems 24, 2011


A fast natural Newton method
Nicolas L. Roux and Andrew W. Fitzgibbon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning the 2-D Topology of Images
Nicolas L. Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau and Balázs Kégl
Advances in Neural Information Processing Systems 20, 2007


Topmoumoute Online Natural Gradient Algorithm
Nicolas L. Roux, Pierre-antoine Manzagol and Yoshua Bengio
Advances in Neural Information Processing Systems 20, 2007


Continuous Neural Networks
Nicolas L. Roux and Yoshua Bengio
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Convex Neural Networks
Yoshua Bengio, Nicolas L. Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte
Advances in Neural Information Processing Systems 18, 2005


The Curse of Highly Variable Functions for Local Kernel Machines
Yoshua Bengio, Olivier Delalleau and Nicolas L. Roux
Advances in Neural Information Processing Systems 18, 2005


Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux and Marie Ouimet
Advances in Neural Information Processing Systems 16, 2003