While contextual bandit has a mature theory, effectively leveraging different feedback patterns to enhance the pace of learning remains unclear.

We aim to understand the optimal P AC sample complexity in multiclass learning.

Neural Information Processing Systems http://nips.cc/

Fortheformer setting, an extensive literature has explored the statistical and computational aspects of learning Booleanfunctions[Angluin,1992,HellersteinandServedio,2007].

Statistical learning theory is the foundation of machine learning, providing theoretical bounds for the risk of models learned from a (single) training set, assumed to issue from an unknown probability distribution.