19. COLT 2006:
Pittsburgh, PA, USA
Clustering, Un-, and Semisupervised Learning
Statistical Learning Theory
: The Rademacher Complexity of Linear Transformation Classes.
Regularized Learning and Kernel Methods
Query Learning and Teaching
Learning Algorithms and Limitations on Learning
Jeffrey C. Jackson
: Uniform-Distribution Learnability of Noisy Linear Threshold Functions with Restricted Focus of Attention.
: Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition.
: A Randomized Online Learning Algorithm for Better Variance Control.
Online Prediction and Reinforcement Learning I
Online Prediction and Reinforcement Learning II
Online Prediction and Reinforcement Learning III
Manfred K. Warmuth
: Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints.