Nicolas Le Roux
Nicolas Le Roux
Microsoft Research, McGill, UdeM
Verified email at - Homepage
Cited by
Cited by
Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
Y Bengio, JF Paiement, P Vincent, O Delalleau, N Le Roux, M Ouimet
NIPS 16, 177-184, 2004
Minimizing finite sums with the stochastic average gradient
M Schmidt, N Le Roux, F Bach
Mathematical Programming 162 (1-2), 83-112, 2017
A stochastic gradient method with an exponential convergence rate for finite training sets
N Le Roux, M Schmidt, F Bach
NIPS, 2663-2671, 2012
Representational power of restricted Boltzmann machines and deep belief networks
N Le Roux, Y Bengio
Neural Computation 20 (6), 1631-1649, 2008
Convergence rates of inexact proximal-gradient methods for convex optimization
M Schmidt, N Le Roux, F Bach
NIPS, 2011
A latent factor model for highly multi-relational data
R Jenatton, N Le Roux, A Bordes, GR Obozinski
NIPS, 3167-3175, 2012
Label propagation and quadratic criterion
Y Bengio, O Delalleau, N Le Roux
Semi-supervised learning, 193-216, 2006
Ask the locals: multi-way local pooling for image recognition
YL Boureau, N Le Roux, F Bach, J Ponce, Y LeCun
ICCV, 2011
Learning eigenfunctions links spectral embedding and kernel PCA
Y Bengio, O Delalleau, N Le Roux, JF Paiement, P Vincent, M Ouimet
Neural Computation 16 (10), 2197-2219, 2004
The curse of highly variable functions for local kernel machines
Y Bengio, O Delalleau, N Le Roux
NIPS 18, 107, 2006
Convex neural networks
Y Bengio, N Le Roux, P Vincent, O Delalleau, P Marcotte
NIPS, 123-130, 2005
Efficient Non-Parametric Function Induction in Semi-Supervised Learning.
O Delalleau, Y Bengio, N Le Roux
International Conference on Artificial Intelligence and Statistics, 2005
Topmoumoute online natural gradient algorithm
N Le Roux, PA Manzagol, Y Bengio
NIPS, 849–856, 2008
Understanding the impact of entropy on policy optimization
Z Ahmed, N Le Roux, M Norouzi, D Schuurmans
International Conference on Machine Learning, 151-160, 2019
Deep belief networks are compact universal approximators
N Le Roux, Y Bengio
Neural computation 22 (8), 2192-2207, 2010
Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition
M Schmidt, N Le Roux
arXiv preprint arXiv:1308.6370, 2013
The curse of dimensionality for local kernel machines
Y Bengio, O Delalleau, N Le Roux
Techn. Rep 1258 (12), 1, 2005
Learning a generative model of images by factoring appearance and shape
N Le Roux, N Heess, J Shotton, J Winn
Neural Computation 23 (3), 593-650, 2011
A Geometric Perspective on Optimal Representations for Reinforcement Learning
MG Bellemare, W Dabney, R Dadashi, AA Taiga, PS Castro, N Le Roux, ...
NeurIPS, 2019
Spectral clustering and kernel PCA are learning eigenfunctions
Y Bengio, P Vincent, JF Paiement, O Delalleau, M Ouimet, N Le Roux
CIRANO, 2003
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