Mistake bounds and logarithmic linear-threshold learning algorithms
Mistake bounds and logarithmic linear-threshold learning algorithms
Additive versus exponentiated gradient updates for linear prediction
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
IEEE Transactions on Neural Networks
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The robustness of the p-norm algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Direct and Indirect Algorithms for On-line Learning of Disjunctions
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Tracking the best linear predictor
The Journal of Machine Learning Research
Tracking a small set of experts by mixing past posteriors
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Path kernels and multiplicative updates
The Journal of Machine Learning Research
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