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Minimizing finite sums with the stochastic average gradient
- Mark W. Schmidt, Nicolas Le Roux, F. Bach
- Computer ScienceMath. Program.
- 10 September 2013
TLDR
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
- Nicolas Le Roux, Mark W. Schmidt, F. Bach
- Computer ScienceNIPS
- 28 February 2012
TLDR
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
- Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, M. Ouimet
- Computer ScienceNIPS
- 9 December 2003
TLDR
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
- Mark W. Schmidt, Nicolas Le Roux, F. Bach
- Computer ScienceNIPS
- 12 September 2011
TLDR
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
- Nicolas Le Roux, Yoshua Bengio
- Computer ScienceNeural Computation
- 1 June 2008
TLDR
A latent factor model for highly multi-relational data
- Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, G. Obozinski
- Computer ScienceNIPS
- 3 December 2012
TLDR
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
- Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, M. Ouimet
- Computer ScienceNeural Computation
- 1 October 2004
In this letter, we show a direct relation between spectral embedding methods and kernel principal components analysis and how both are special cases of a more general learning problem: learning the…
Ask the locals: Multi-way local pooling for image recognition
- Y-Lan Boureau, Nicolas Le Roux, F. Bach, J. Ponce, Yann LeCun
- Computer ScienceInternational Conference on Computer Vision
- 6 November 2011
TLDR
Topmoumoute Online Natural Gradient Algorithm
- Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio
- Computer ScienceNIPS
- 3 December 2007
TLDR
Label Propagation and Quadratic Criterion
- Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
- Computer ScienceSemi-Supervised Learning
- 2006
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