PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by José Miguel Hernánez Lobato

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Number of EPrints submitted by this user: 8

Robust multi-class Gaussian process classification
Daniel Hernández-Lobato, José Miguel Hernánez Lobato and Pierre Dupont
In: Neural Information Processing Systems, 12-15 Dec 2011, Granada, Spain.

Expectation Propagation for the Estimation of Conditional Bivariate Copulas
José Miguel Hernánez Lobato, David López-Paz and Zoubin Ghahramani
In: NIPS 2011 Workshop on Copulas in Machine Learning, 16 Dec 2011, Granada, Spain.

Transfer Learning with Copulas
David López-Paz and José Miguel Hernánez Lobato
In: NIPS 2011 Workshop on Copulas in Machine Learning, 16 Dec 2011, Granada, Spain.

Convergent Expectation Propagation in Linear Models with Spike-and-slab Priors
José Miguel Hernánez Lobato and Daniel Hernández-Lobato
Arxiv preprint arXiv:1112.2289 2011.

Bringing Representativeness into Social Media Monitoring and Analysis
Michael Kaschesky, Pawel Sobkowicz, José Miguel Hernánez Lobato, Guillaume Bouchard, Cedric Archambeau, Nicolas Scharioth, Robert Manchin, Adrian Gschwend and Reinhard Riedl
56th Annual Hawaii International Conference on System Sciences 2012.

Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-Paz, Jose Miguel Hernandez-Lobato and Bernhard Schölkopf
Neural Information Processing Systems 2012.

Gaussian Process Vine Copulas for Multivariate Dependence
David López-Paz, José Miguel Hernánez Lobato and Zoubin Ghahramani
International Conference on Machine Learning 2013.

NetBox: a Probabilistic Method for Modeling and Mining Market Basket Data
José Miguel Hernánez Lobato and Zoubin Ghahramani
Technical report 2013.