Mark Herbster

	2008
14		Mark Herbster: Exploiting Cluster-Structure to Predict the Labeling of a Graph. ALT 2008: 54-69
13		Mark Herbster, Guy Lever, Massimiliano Pontil: Online Prediction on Large Diameter Graphs. NIPS 2008: 649-656
12		Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. NIPS 2008: 657-664
	2006
11		Mark Herbster, Massimiliano Pontil: Prediction on a Graph with a Perceptron. NIPS 2006: 577-584
	2005
10		Mark Herbster, Massimiliano Pontil, Lisa Wainer: Online learning over graphs. ICML 2005: 305-312
9		Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005
	2004
8		Mark Herbster: Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm. ALT 2004: 309-323
	2001
7		Mark Herbster: Learning Additive Models Online with Fast Evaluating Kernels. COLT/EuroCOLT 2001: 444-460
6		Mark Herbster, Manfred K. Warmuth: Tracking the Best Linear Predictor. Journal of Machine Learning Research 1: 281-309 (2001)
	1998
5		Mark Herbster, Manfred K. Warmuth: Tracking the Best Regressor. COLT 1998: 24-31
4		Mark Herbster, Manfred K. Warmuth: Tracking the Best Expert. Machine Learning 32(2): 151-178 (1998)
	1995
3		Mark Herbster, Manfred K. Warmuth: Tracking the Best Expert. ICML 1995: 286-294
2		Peter Auer, Mark Herbster, Manfred K. Warmuth: Exponentially many local minima for single neurons. NIPS 1995: 316-322
	1994
1		Leslie Grate, Mark Herbster, Richard Hughey, David Haussler, I. Saira Mian, Harry Noller: RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars. ISMB 1994: 138-146

Coauthor Index

1	Andreas Argyriou	[9]
2	Peter Auer	[2]
3	Sergio Rojas Galeano	[12]
4	Leslie Grate	[1]
5	David Haussler	[1]
6	Richard Hughey	[1]
7	Guy Lever	[13]
8	I. Saira Mian	[1]
9	Harry Noller	[1]
10	Massimiliano Pontil	[9] [10] [11] [12] [13]
11	Lisa Wainer	[10]
12	Manfred K. Warmuth	[2] [3] [4] [5] [6]

Colors in the list of coauthors