Communications of the ACM
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
The Strength of Weak Learnability
Machine Learning
Computational learning theory: an introduction
Computational learning theory: an introduction
Robust trainability of single neurons
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Fat-shattering and the learnability of real-valued functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Efficient learning of continuous neural networks
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
Simple translation-invariant concepts are hard to learn
Information and Computation
Toward Efficient Agnostic Learning
Machine Learning - Special issue on computational learning theory, COLT'92
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Approximation and learning of convex superpositions
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
The importance of convexity in learning with squared loss
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Boosting Methods for Regression
Machine Learning
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Convergence of reinforcement learning with general function approximators
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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