PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Felix Agakov

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Number of EPrints submitted by this user: 12

Variational Information Maximization for Neural Coding
Felix Agakov and David Barber
In: ICONIP 2004, 22-25 Nov 2004, Calcutta, India.

An Auxiliary Variational Method
Felix Agakov and David Barber
In: ICONIP 2004, 22-25 Nov 2004, Calcutta, India.

Variational Information Maximization in Gaussian Channels
Felix Agakov and David Barber
(2004) Technical Report. University of Edinburgh, Edinburgh, UK.

An Auxiliary Variational Method
Felix Agakov and David Barber
(2004) Technical Report. University of Edinburgh, Edinburgh, UK.

Auxiliary Variational Information Maximization for Dimensionality Reduction
Felix Agakov and David Barber
In: PASCAL: Subspace, Latent Structure and Feature Selection techniques: Statistical and Optimisation perspectives Workshop 2005, 23-25 Feb 2005, Bohinj, Slovenia.

Nonlinear Encoder Models for Information-Theoretic Clustering
Felix Agakov and David Barber
In: Statistics and Optimization of Clustering Workshop, 4-5 Jul 2005, Windsor, UK.

Kernelized Infomax Clustering
Felix Agakov and David Barber
In: NIPS 2005, 5-8 Dec 2005, Vancouver, Canada.

Predictive Search Distributions
Edwin Bonilla, Christopher Williams, Felix Agakov, John Cavazos, John Thomson and Michael O'Boyle
In: ICML 2006, 25-29 June 2006, Pittsburgh, USA.

Using Machine Learning to Focus Iterative Optimization
Felix Agakov, Edwin Bonilla, John Cavazos, Bjoern Franke, Grigori Fursin, Michael O'Boyle, John Thomson, Marc Toussaint and Christopher Williams
In: 4th Annual International Symposium on Code Generation and Optimization (CGO), 26-29 March 2006, New York, USA.

Automatic Performance Model Construction for the Fast Software Exploration of New Hardware Designs
John Cavazos, Christophe Dubach, Felix Agakov, Edwin Bonilla, Michael O'Boyle, Grigori Fursin and Olivier Temam
In: Int. Conf. on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), 23-25 Oct 2006, Seoul, Korea.

Variational Information-Maximization and Conditional Self-Supervised Training
Felix Agakov
In: Mathematical Foundations of Learning Theory -II, 31 May - 3 Jun 2006, Paris, France.

Kernel Multi-task Learning using Task-specific Features.
Edwin Bonilla, Felix Agakov and Christopher Williams
In: AIStats 2007, 21-24 March 2007, Puerto Rico.