Communications of the ACM
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Learning probabilistic prediction functions
COLT '88 Proceedings of the first annual workshop on Computational learning theory
From on-line to batch learning
COLT '89 Proceedings of the second annual workshop on Computational learning theory
On-line learning of linear functions
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
A loss bound model for on-line stochastic prediction strategies
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Journal of Algorithms
Competitive algorithms for layered graph traversal
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
Equivalence of models for polynomial learnability
Information and Computation
Toward efficient agnostic learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Universal sequential learning and decision from individual data sequences
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Universal forecasting algorithms
Information and Computation
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension
Machine Learning - Special issue on computational learning theory
PREDICTING {0,1}-FUNCTIONS ON RANDOMLY DRAWN POINTS
PREDICTING {0,1}-FUNCTIONS ON RANDOMLY DRAWN POINTS
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Learning from a population of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Worst-case quadratic loss bounds for a generalization of the Widrow-Hoff rule
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning binary relations using weighted majority voting
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Approximate methods for sequential decision making using expert advice
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
Additive versus exponentiated gradient updates for linear prediction
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
A game of prediction with expert advice
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Predicting nearly as well as the best pruning of a decision tree
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
How to use expert advice in the case when actual values of estimated events remain unknown
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Predicting a binary sequence almost as well as the optimal biased coin
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Game theory, on-line prediction and boosting
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Predicting Nearly As Well As the Best Pruning of a Decision Tree
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Journal of the ACM (JACM)
Using and combining predictors that specialize
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
On-line evaluation and prediction using linear functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Derandomizing stochastic prediction strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
An efficient extension to mixture techniques for prediction and decision trees
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
General convergence results for linear discriminant updates
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Some label efficient learning results
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Universal portfolios with and without transaction costs
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Online Learning versus Offline Learning
Machine Learning
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
Individual sequence prediction—upper bounds and application for complexity
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Universal Portfolios With and Without Transaction Costs
Machine Learning - Special issue: computational learning theory, COLT '97
Derandomizing Stochastic Prediction Strategies
Machine Learning - Special issue: computational learning theory, COLT '97
ACM Computing Surveys (CSUR)
On the red-blue set cover problem
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
On-line Learning and the Metrical Task System Problem
Machine Learning
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Competitive on-line paging strategies for mobile users under delay constraints
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
Adaptive Mixtures of Probabilistic Transducers
Neural Computation
Online learning with prior knowledge
COLT'07 Proceedings of the 20th annual conference on Learning theory
Update rules for parameter estimation in Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
From external to internal regret
COLT'05 Proceedings of the 18th annual conference on Learning Theory
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