Felix V. Agakov

Orcid: 0000-0003-4280-9062

According to our database1, Felix V. Agakov authored at least 17 papers between 2001 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Bayesian Inference in Sparse Gaussian Graphical Models.
CoRR, 2013

2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2007
Kernel Multi-task Learning using Task-specific Features.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Rapidly Selecting Good Compiler Optimizations using Performance Counters.
Proceedings of the Fifth International Symposium on Code Generation and Optimization (CGO 2007), 2007

2006
Predictive search distributions.
Proceedings of the Machine Learning, 2006

Using Machine Learning to Focus Iterative Optimization.
Proceedings of the Fourth IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2006), 2006

Automatic performance model construction for the fast software exploration of new hardware designs.
Proceedings of the 2006 International Conference on Compilers, 2006

2005
Auxiliary Variational Information Maximization for Dimensionality Reduction.
Proceedings of the Subspace, 2005

Kernelized Infomax Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
An Auxiliary Variational Method.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Variational Information Maximization for Neural Coding.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
Extreme Components Analysis.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Information Maximization in Noisy Channels : A Variational Approach.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Approximate Learning in Temporal Hidden Hopfield Models.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Products of Gaussians and Probabilistic Minor Component Analysis.
Neural Comput., 2002

2001
Products of Gaussians.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001


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