Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension
Machine Learning - Special issue on computational learning theory
Rigorous learning curve bounds from statistical mechanics
Machine Learning - Special issue on COLT '94
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Fast probabilistic algorithms for hamiltonian circuits and matchings
STOC '77 Proceedings of the ninth annual ACM symposium on Theory of computing
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
Predicting panel data binary choice with the gibbs posterior
Neural Computation
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