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Warmuth, Manfred K. - Department of Computer Science, University of California at Santa Cruz
Repeated Games against Budgeted Adversaries Jacob Abernethy
Hedging Structured Concepts Wouter M. Koolen
Learning rotations with little regret IBM Almaden
Satyen Kale (Yahoo! Research) Joint work with
Corrigendum to "Learning rotations with little regret" September 7, 2010
Entropy Regularized LPBoost Manfred K. Warmuth
Boosting Algorithms for Maximizing the Soft Margin Manfred K. Warmuth
Boosting Algorithms for Maximizing the Soft Margin Manfred Warmuth1, Karen Glocer1, Gunnar Ratsch2
Online Kernel PCA with Entropic Matrix Updates Dima Kuzmin Manfred K. Warmuth
Learning Permutations with Exponential David P. Helmbold and Manfred K. Warmuth
Journal of Machine Learning Research 2009 (10) 1705-1736 Submitted 9/08; Published 7/09 Learning Permutations with Exponential Weights
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
On-line PCA Manfred K. Warmuth Dima Kuzmin
On-line Variance Minimization Manfred Warmuth Dima Kuzmin
Leaving The Span Manfred K. Warmuth and Vishy Vishwanathan
Online Variance Minimization Manfred K. Warmuth and Dima Kuzmin
BioMed Central Page 1 of 19
Machine Learning manuscript No. (will be inserted by the editor)
Hedging Structured Concepts Wouter M. Koolen
Leaving the Span Manfred K. Warmuth
Game Theory and Boosting Manfred K. Warmuth
Winnowing Subspaces Manfred Warmuth
Optimal Strategies from Random Walks
Leaving the Span Manfred K. Warmuth1,
Online Kernel PCA with Entropic Matrix Updates Dima Kuzmin dima@cse.ucsc.edu
Journal of Machine Learning Research 9 (2008) 2287-2320 Submitted 9/07; Published 10/08 Randomized Online PCA Algorithms with Regret Bounds that are
Learning Permutations with Exponential Weights David P. Helmbold Manfred K. Warmuth
Winnowing Subspaces Manfred K. Warmuth manfred@cse.ucsc.edu
Combining Initial Segments of Lists Manfred K. Warmuth1,
Learning Eigenvectors for Free Wouter M. Koolen
Machine Learning manuscript No. (will be inserted by the editor)
Learning Rotations Learning rotations with little regret