Introduction to algorithms
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
Relative loss bounds for multidimensional regression problems
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Iterative solution of nonlinear equations in several variables
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THE WEIGHTED MAJORITY ALGORITHM (Supersedes 89-16)
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Approximate solutions to markov decision processes
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COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Prior knowledge and preferential structures in gradient descent learning algorithms
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
No-regret learning in convex games
Proceedings of the 25th international conference on Machine learning
No-regret learning and a mechanism for distributed multiagent planning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
A regularization approach to metrical task systems
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
Lagrangian Relaxation for Large-Scale Multi-agent Planning
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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