All publications sorted by recency

Marie Ouimet and Yoshua Bengio, Greedy Spectral Embedding, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, pages 253--260, Society for Artificial Intelligence and Statistics, 2005
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, The Curse of Dimensionality for Local Kernel Machines, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1258, 2005
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Yoshua Bengio and Hugo Larochelle, Non-Local Manifold Parzen Windows, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1264, 2005
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Balázs Kégl, Generalization Error and Algorithmic Convergence of Median Boosting, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 657--664, 2005
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Balázs Kégl and Ligen Wang, Boosting on Manifolds: Adaptive Regularization of Base Classifiers, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 665--672, 2005
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Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte, Convex neural networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1263, 2005
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Frederic Morin and Yoshua Bengio, Hierarchical Probabilistic Neural Network Language Model, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, pages 246--252, Society for Artificial Intelligence and Statistics, 2005
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Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau and Patrice Marcotte, Convex Neural Networks, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 123--130, MIT Press, 2006
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Yoshua Bengio, Hugo Larochelle and Pascal Vincent, Non-Local Manifold Parzen Windows, in: Advances in Neural Information Processing Systems 18 (NIPS'05), MIT Press, 2006
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, The Curse of Highly Variable Functions for Local Kernel Machines, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 107--114, MIT Press, 2006
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Yoshua Bengio, Martin Monperrus and Hugo Larochelle, Nonlocal Estimation of Manifold Structure (2006), in: Neural Computation, 18(2509--2528)
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Nicolas Le Roux and Yoshua Bengio, Continuous Neural Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1281, 2006
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Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle, Greedy Layer-Wise Training of Deep Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1282, 2006
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Julie Carreau and Yoshua Bengio, A Hybrid Pareto Model for Asymmetric Fat-Tail Data, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1283, 2006
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Hugo Larochelle and Yoshua Bengio, Distributed Representation Prediction for Generalization to New Words, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1284, 2006
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Yves Grandvalet and Yoshua Bengio, Hypothesis Testing for Cross-Validation, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1285, 2006
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Dumitru Erhan, Yoshua Bengio, Pierre-Jean {L'Heureux} and Shi Yi Yue, Generalizing to a Zero-Data Task: a Computational Chemistry Case Study, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1286, 2006
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Yves Grandvalet and Yoshua Bengio, Entropy Regularization, in: Semi-Supervised Learning, pages 151--168, {MIT} Press, 2006
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Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent and Marie Ouimet, Spectral Dimensionality Reduction, in: Feature Extraction, Foundations and Applications, Springer, 2006
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, Label Propagation and Quadratic Criterion, in: Semi-Supervised Learning, pages 193--216, {MIT} Press, 2006
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Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux, Large-Scale Algorithms, in: Semi-Supervised Learning, pages 333--341, {MIT} Press, 2006
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Yoshua Bengio and Yann {LeCun}, Scaling Learning Algorithms towards AI, in: Large Scale Kernel Machines, MIT Press, 2007
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Yoshua Bengio and Jean-Sébastien Sénécal, Quick Training of Probabilistic Neural Nets by Importance Sampling, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1216, 2002
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