Felix V. Agakov

	2012
16		Felix V. Agakov, Peter Orchard, Amos J. Storkey: Discriminative Mixtures of Sparse Latent Fields for Risk Management. Journal of Machine Learning Research - Proceedings Track 22: 10-18 (2012)
	2010
15		Felix V. Agakov, Paul McKeigue, Jon Krohn, Amos J. Storkey: Sparse Instrumental Variables (SPIV) for Genome-Wide Studies. NIPS 2010: 28-36
	2007
14		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
13		Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams: Kernel Multi-task Learning using Task-specific Features. Journal of Machine Learning Research - Proceedings Track 2: 43-50 (2007)
	2006
12		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
11		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
10		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
9		Felix V. Agakov, David Barber: Kernelized Infomax Clustering. NIPS 2005
8		Felix V. Agakov, David Barber: Auxiliary Variational Information Maximization for Dimensionality Reduction. SLSFS 2005: 103-114
	2004
7		Felix V. Agakov, David Barber: Variational Information Maximization for Neural Coding. ICONIP 2004: 543-548
6		Felix V. Agakov, David Barber: An Auxiliary Variational Method. ICONIP 2004: 561-566
	2003
5		Felix V. Agakov, David Barber: Approximate Learning in Temporal Hidden Hopfield Models. ICANN 2003: 107-114
4		Max Welling, Felix V. Agakov, Christopher K. I. Williams: Extreme Components Analysis. NIPS 2003
3		David Barber, Felix V. Agakov: The IM Algorithm: A Variational Approach to Information Maximization. NIPS 2003
	2002
2		Christopher K. I. Williams, Felix V. Agakov: Products of Gaussians and Probabilistic Minor Component Analysis. Neural Computation 14(5): 1169-1182 (2002)
	2001
1		Christopher K. I. Williams, Felix V. Agakov, Stephen N. Felderhof: Products of Gaussians. NIPS 2001: 1017-1024

Coauthor Index

1	David Barber	[3] [5] [6] [7] [8] [9]
2	Edwin V. Bonilla	[10] [11] [12] [13] [14]
3	John Cavazos	[10] [11] [12] [14]
4	Christophe Dubach	[12]
5	Stephen N. Felderhof	[1]
6	Björn Franke	[11]
7	Grigori Fursin	[11] [12] [14]
8	Jon Krohn	[15]
9	Paul McKeigue	[15]
10	Michael F. P. O'Boyle	[10] [11] [12] [14]
11	Peter Orchard	[16]
12	Amos J. Storkey	[15] [16]
13	Olivier Temam	[12] [14]
14	John Thomson	[10] [11]
15	Marc Toussaint	[11]
16	Max Welling	[4]
17	Christopher K. I. Williams	[1] [2] [4] [10] [11] [13]

Last update Sat May 26 04:23:17 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page