Hugo Larochelle

Hugo Larochelle is a person.

• See: Gaussian Process Optimization, Stacked Denoising Autoencoder.

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References

• Professional Homepages:
  • http://www.dmi.usherb.ca/~larocheh/index_en.html
  • https://research.google.com/pubs/105144.html
• Google Scholar Author Page: https://scholar.google.com/citations?user=U89FHq4AAAAJ

2017

• (Vartak et al., 2017) ⇒ Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, and Hugo Larochelle. (2017). “A Meta-Learning Perspective on Cold-Start Recommendations for Items.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).

2014

• (Charlin et al., 2014) ⇒ Laurent Charlin, Richard S. Zemel, and Hugo Larochelle. (2014). “Leveraging User Libraries to Bootstrap Collaborative Filtering.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623663

2012

• (Snoek et al., 2012) ⇒ Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. (2012). “Practical Bayesian Optimization of Machine Learning Algorithms.” In: Proceedings of the 25th International Conference on Neural Information Processing Systems (NIPS-2012).

2010

• (Vincent et al., 2010) ⇒ Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol. (2010). “Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion.” In: The Journal of Machine Learning Research, 11.

2008

• (Larochelle & Bengio, 2008) ⇒ Hugo Larochelle, and Yoshua Bengio. (2008). “Classification using discriminative restricted Boltzmann machines". In: Proceedings of the 25th International Conference on Machine learning (ICML 2008). doi:10.1145/1390156.1390224
• (Vincent et al., 2008) ⇒ Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. (2008). “Extracting and Composing Robust Features with Denoising Autoencoders.” In: Proceedings of the 25th International Conference on Machine learning (ICML 2008).

2007

• (Larochelle et al., 2007) ⇒ Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, and Yoshua Bengio. "An Empirical Evaluation of Deep Architectures on Problems with many Factors of Variation.” In: Proceedings of the 24th International Conference on Machine learning, pp. 473-480. ACM, 2007.

2006

• (Bengio, Lamblin et al., 2006) ⇒ Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. (2006). “Greedy Layer-wise Training of Deep Networks.” In: Advances in Neural Information Processing Systems 19 (NIPS-2006).

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