Guest Editors’ Introduction: Special issue on Learning Theory (COLT-2007)
Sketching information divergences
Regret to the best vs. regret to the average
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
U-shaped, iterative, and iterative-with-counter learning
A theory of learning with similarity functions
Learning large-alphabet and analog circuits with value injection queries
Robust reductions from ranking to classification
Guest Editors’ introduction: special issue of selected papers from ECML PKDD 2008
Rollout sampling approximate policy iteration
Large margin vs. large volume in transductive learning
Incremental exemplar learning schemes for classification on embedded devices
New closed-form bounds on the partition function
A collaborative filtering framework based on both local user similarity and global user similarity
A critical analysis of variants of the AUC
Improving maximum margin matrix factorization