A game of prediction with expert advice
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
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
Derandomizing stochastic prediction strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Distributed cooperative Bayesian learning strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Minimax relative loss analysis for sequential prediction algorithms using parametric hypotheses
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Information and Computation
Extended Stochastic Complexity and Minimax Relative Loss Analysis
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Non-linear Inequalities between Predictive and Kolmogorov Complexities
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Discrete Prediction Games with Arbitrary Feedback and Loss
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Predictive Complexity and Information
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
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