COLT '90 Proceedings of the third annual workshop on Computational learning theory
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
The weighted majority algorithm
Information and Computation
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
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Tight worst-case loss bounds for predicting with expert advice
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Discrete noninformative priors
Discrete noninformative priors
Universal portfolios with side information
IEEE Transactions on Information Theory
Minimax redundancy for the class of memoryless sources
IEEE Transactions on Information Theory
A decision-theoretic extension of stochastic complexity and its applications to learning
IEEE Transactions on Information 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
Derandomizing stochastic prediction strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Analysis of two gradient-based algorithms for on-line regression
COLT '97 Proceedings of the tenth 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
Minimax regret under log loss for general classes of experts
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Derandomizing Stochastic Prediction Strategies
Machine Learning - Special issue: computational learning theory, COLT '97
Worst-Case Bounds for the Logarithmic Loss of Predictors
Machine Learning
Extended Stochastic Complexity and Minimax Relative Loss Analysis
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
The Last-Step Minimax Algorithm
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
Aggregating Algorithm for a Space of Analytic Functions
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
On-line estimation with the multivariate Gaussian distribution
COLT'07 Proceedings of the 20th annual conference on Learning theory
Relative loss bounds for on-line density estimation with the exponential family of distributions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Defensive prediction with expert advice
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Asymptotic log-loss of prequential maximum likelihood codes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
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