Dominating distributions and learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
On probably correct classification of concepts
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Fat-shattering and the learnability of real-valued functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Simulating access to hidden information while learning
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
More theorems about scale-sensitive dimensions and learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning with maximum-entropy distributions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Improved lower bounds for learning from noisy examples: an information-theoretic approach
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning with Maximum-Entropy Distributions
Machine Learning
Structural Complexity and Neural Networks
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Sample Complexity for Function Learning Tasks through Linear Neural Networks
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Information Processing Letters
Semi-supervised learning using randomized mincuts
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Fixed-Distribution PAC Learning Theory for Neural FIR Models
Journal of Intelligent Information Systems
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Using the doubling dimension to analyze the generalization of learning algorithms
Journal of Computer and System Sciences
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Theoretical Computer Science
SIAM Journal on Computing
A PAC-Style model for learning from labeled and unlabeled data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Supervised learning and Co-training
Theoretical Computer Science
Distribution-dependent sample complexity of large margin learning
The Journal of Machine Learning Research
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