CS790: Statistical Learning Theory
Fall 2009
Suggested Reading List
Aarti Singh, Robert D. Nowak and Xiaojin Zhu.
Unlabeled data: Now it helps, now it doesn't. NIPS 2008: 1513-1520
Shai Ben-David, Tyler Lu and Dávid Pál.
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. COLT 2008: 33-44
Peter L. Bartlett and Mikhail Traskin.
AdaBoost is Consistent, Journal of Machine Learning Research, (8):2347-2368, 2007
Vittorio Castelli and Thomas M. Cover.
The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter. IEEE Transactions on Information Theory 42(6): 2102-2117 (1996)
David McAllester.
Some PAC-Bayesian Theorems, COLT 1998.