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ORCIDFelix V. Agakov
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2010 – 2019
- 2013
[i1]Peter Orchard
, Felix V. Agakov, Amos J. Storkey:
Bayesian Inference in Sparse Gaussian Graphical Models. CoRR abs/1309.7311 (2013)- 2012
- [c15]Felix V. Agakov, Peter Orchard, Amos J. Storkey:
Discriminative Mixtures of Sparse Latent Fields for Risk Management. AISTATS 2012: 10-18 - 2010
- [c14]Felix V. Agakov, Paul McKeigue, Jon Krohn, Amos J. Storkey:
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies. NIPS 2010: 28-36
2000 – 2009
- 2007
- [c13]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: 185-197 - [c12]Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams:
Kernel Multi-task Learning using Task-specific Features. AISTATS 2007: 43-50 - 2006
- [c11]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: 24-34 - [c10]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: 295-305 - [c9]Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle:
Predictive search distributions. ICML 2006: 121-128 - 2005
- [c8]Felix V. Agakov, David Barber:
Kernelized Infomax Clustering. NIPS 2005: 17-24 - [c7]Felix V. Agakov, David Barber:
Auxiliary Variational Information Maximization for Dimensionality Reduction. SLSFS 2005: 103-114 - 2004
- [c6]Felix V. Agakov, David Barber:
Variational Information Maximization for Neural Coding. ICONIP 2004: 543-548 - [c5]Felix V. Agakov, David Barber:
An Auxiliary Variational Method. ICONIP 2004: 561-566 - 2003
- [c4]Felix V. Agakov, David Barber:
Approximate Learning in Temporal Hidden Hopfield Models. ICANN 2003: 107-114 - [c3]Max Welling, Felix V. Agakov, Christopher K. I. Williams:
Extreme Components Analysis. NIPS 2003: 137-144 - [c2]David Barber, Felix V. Agakov:
Information Maximization in Noisy Channels : A Variational Approach. NIPS 2003: 201-208 - 2002
- [j1]Christopher K. I. Williams, Felix V. Agakov:
Products of Gaussians and Probabilistic Minor Component Analysis. Neural Comput. 14(5): 1169-1182 (2002) - 2001
- [c1]Christopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof:
Products of Gaussians. NIPS 2001: 1017-1024
Coauthor Index
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