Matthias Seeger

	2009
16		Matthias Seeger, Suvrit Sra, John P. Cunningham: Workshop summary: Numerical mathematics in machine learning. ICML 2009: 169
	2008
15		Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Bernhard Schölkopf: Learning Inverse Dynamics: a Comparison. ESANN 2008: 13-18
14		Duy Nguyen-Tuong, Matthias Seeger, Jan Peters: Local Gaussian Process Regression for Real Time Online Model Learning. NIPS 2008: 1193-1200
	2007
13		Matthias Seeger, Sebastian Gerwinn, Matthias Bethge: Bayesian Inference for Sparse Generalized Linear Models. ECML 2007: 298-309
12		Sebastian Gerwinn, Jakob Macke, Matthias Seeger, Matthias Bethge: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior. NIPS 2007
	2006
11		Matthias Seeger: Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods. NIPS 2006: 1233-1240
	2005
10		Yirong Shen, Andrew Y. Ng, Matthias Seeger: Fast Gaussian Process Regression using KD-Trees. NIPS 2005
9		Sham M. Kakade, Matthias Seeger, Dean P. Foster: Worst-Case Bounds for Gaussian Process Models. NIPS 2005
	2004
8		Matthias Seeger: Gaussian Processes For Machine Learning. Int. J. Neural Syst. 14(2): 69-106 (2004)
	2002
7		Neil D. Lawrence, Matthias Seeger, Ralf Herbrich: Fast Sparse Gaussian Process Methods: The Informative Vector Machine. NIPS 2002: 609-616
6		Matthias Seeger: PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification. Journal of Machine Learning Research 3: 233-269 (2002)
	2001
5		John Langford, Matthias Seeger, Nimrod Megiddo: An Improved Predictive Accuracy Bound for Averaging Classifiers. ICML 2001: 290-297
4		Matthias Seeger: Covariance Kernels from Bayesian Generative Models. NIPS 2001: 905-912
	2000
3		Christopher K. I. Williams, Matthias Seeger: The Effect of the Input Density Distribution on Kernel-based Classifiers. ICML 2000: 1159-1166
2		Christopher K. I. Williams, Matthias Seeger: Using the Nyström Method to Speed Up Kernel Machines. NIPS 2000: 682-688
	1999
1		Matthias Seeger: Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers. NIPS 1999: 603-609

Coauthor Index

1	Matthias Bethge	[12] [13]
2	John P. Cunningham	[16]
3	Dean P. Foster	[9]
4	Sebastian Gerwinn	[12] [13]
5	Ralf Herbrich	[7]
6	Sham M. Kakade (Sham Kakade)	[9]
7	John Langford	[5]
8	Neil D. Lawrence	[7]
9	Jakob Macke	[12]
10	Nimrod Megiddo	[5]
11	Andrew Y. Ng	[10]
12	Duy Nguyen-Tuong	[14] [15]
13	Jan Peters	[14] [15]
14	Bernhard Schölkopf	[15]
15	Yirong Shen	[10]
16	Suvrit Sra	[16]
17	Christopher K. I. Williams	[2] [3]

Colors in the list of coauthors