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All publications by Nando D. Freitas
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Linear and Parallel Learning of Markov Random Fields
Yariv Mizrahi, Misha Denil and Nando D. Freitas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil, David Matheson and Nando D. Freitas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Parameter Estimation in Probabilistic Graphical Models
Yariv D. Mizrahi, Misha Denil and Nando D. Freitas
Advances in Neural Information Processing Systems 27, 2014


Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'aurelio Ranzato and Nando D. Freitas
Advances in Neural Information Processing Systems 26, 2013


Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando D. Freitas, Masrour Zoghi and Alex J. Smola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Autoencoders and Score Matching for Energy Based Models
Kevin Swersky, Marc'aurelio Ranzato, David Buchman, Nando D. Freitas and Benjamin M. Marlin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani, Hugo Larochelle, Vittorio Murino, Jo-anne Ting and Nando D. Freitas
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Inductive Principles for Restricted Boltzmann Machine Learning
Benjamin M. Marlin, Kevin Swersky, Bo Chen and Nando D. Freitas
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward
Matthew D. Hoffman, Nando D. Freitas, Arnaud Doucet and Jan R. Peters
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt and Nando D. Freitas
Advances in Neural Information Processing Systems 21, 2008


Active Preference Learning with Discrete Choice Data
Brochu Eric, Nando D. Freitas and Abhijeet Ghosh
Advances in Neural Information Processing Systems 20, 2007


Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman, Arnaud Doucet, Nando D. Freitas and Ajay Jasra
Advances in Neural Information Processing Systems 20, 2007


Fast particle smoothing: if I had a million particles
Mike Klaas, Mark Briers, Nando D. Freitas, Arnaud Doucet, Simon Maskell and Dustin Lang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Conditional mean field
Peter Carbonetto and Nando D. Freitas
Advances in Neural Information Processing Systems 19, 2006


Fast Krylov Methods for N-Body Learning
Nando D. Freitas, Yang Wang, Maryam Mahdaviani and Dustin Lang
Advances in Neural Information Processing Systems 18, 2005


Beat Tracking the Graphical Model Way
Dustin Lang and Nando D. Freitas
Advances in Neural Information Processing Systems 17, 2004


Matching Words and Pictures
Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando D. Freitas, David M. Blei and Michael I. Jordan
Journal of Machine Learning Research, 2003


Name That Song!" A Probabilistic Approach to Querying on Music and Text
Eric Brochu and Nando D. Freitas
Advances in Neural Information Processing Systems 15, 2002


Real-Time Monitoring of Complex Industrial Processes with Particle Filters
Rubén Morales-menéndez, Nando D. Freitas and David Poole
Advances in Neural Information Processing Systems 15, 2002


Rao-Blackwellised Particle Filtering via Data Augmentation
Christophe Andrieu, Nando D. Freitas and Arnaud Doucet
Advances in Neural Information Processing Systems 14, 2001