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All publications by Fernando Pereira
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Exploiting Feature Covariance in High-Dimensional Online Learning
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul and Fernando Pereira
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira and João Gama
Advances in Neural Information Processing Systems 22, 2009


Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer and Dennis Strelow
Advances in Neural Information Processing Systems 22, 2009


Gaussian Margin Machines
Koby Crammer, Mehryar Mohri and Fernando Pereira
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Confidence-weighted linear classification
Mark Dredze, Koby Crammer and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A rate-distortion one-class model and its applications to clustering
Koby Crammer, Partha P. Talukdar and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze and Fernando Pereira
Advances in Neural Information Processing Systems 21, 2008


The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Pascal Vincent, Jason Weston, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2007


Structured Learning with Approximate Inference
Alex Kulesza and Fernando Pereira
Advances in Neural Information Processing Systems 20, 2007


Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira and Jennifer Wortman
Advances in Neural Information Processing Systems 20, 2007


Euclidean Embedding of Co-occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby
Journal of Machine Learning Research, 2007


Analysis of Representations for Domain Adaptation
Shai Ben-david, John Blitzer, Koby Crammer and Fernando Pereira
Advances in Neural Information Processing Systems 19, 2006


Euclidean Embedding of Co-Occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Distributed Representations for Statistical Language Modeling
John Blitzer, Fernando Pereira, Kilian Q. Weinberger and Lawrence K. Saul
Advances in Neural Information Processing Systems 17, 2004