Felix V. Agakov

Publication Activity (10 Years)

Years Active: 2001-2013
Publications (10 Years): 0

Top Topics

Gaussian Graphical Models

Latent Variables

Bayesian Inference

Hyperparameters

Top Venues

Publications

Peter Orchard, Felix V. Agakov, Amos J. Storkey
Bayesian Inference in Sparse Gaussian Graphical Models. CoRR (2013)
Felix V. Agakov, Peter Orchard, Amos J. Storkey
Discriminative Mixtures of Sparse Latent Fields for Risk Management. AISTATS (2012)
Felix V. Agakov, Paul McKeigue, Jon Krohn, Amos J. Storkey
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies. NIPS (2010)
John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam
Rapidly Selecting Good Compiler Optimizations using Performance Counters. CGO (2007)
Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams
Kernel Multi-task Learning using Task-specific Features. AISTATS (2007)
Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle
Predictive search distributions. ICML (2006)
John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam
Automatic performance model construction for the fast software exploration of new hardware designs. CASES (2006)
Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams
Using Machine Learning to Focus Iterative Optimization. CGO (2006)
Felix V. Agakov, David Barber
Auxiliary Variational Information Maximization for Dimensionality Reduction. SLSFS (2005)
Felix V. Agakov, David Barber
Kernelized Infomax Clustering. NIPS (2005)
Felix V. Agakov, David Barber
Variational Information Maximization for Neural Coding. ICONIP (2004)
Felix V. Agakov, David Barber
An Auxiliary Variational Method. ICONIP (2004)
David Barber, Felix V. Agakov
Information Maximization in Noisy Channels : A Variational Approach. NIPS (2003)
Max Welling, Felix V. Agakov, Christopher K. I. Williams
Extreme Components Analysis. NIPS (2003)
Felix V. Agakov, David Barber
Approximate Learning in Temporal Hidden Hopfield Models. ICANN (2003)
Christopher K. I. Williams, Felix V. Agakov
Products of Gaussians and Probabilistic Minor Component Analysis. Neural Comput. 14 (5) (2002)
Christopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof
Products of Gaussians. NIPS (2001)