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All publications by H. B. Mcmahan
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Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Discussion of "Contextual Bandit Algorithms with Supervised Learning Guarantees"
H. B. Mcmahan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards
Varun Kanade, H. B. Mcmahan and Brent Bryan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Efficiently computing minimax expected-size confidence regions
Brent Bryan, H. B. Mcmahan, Chad M. Schafer and Jeff G. Schneider
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games
H. B. Mcmahan and Geoffrey J. Gordon
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees
H. B. Mcmahan, Maxim Likhachev and Geoffrey J. Gordon
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Planning in the Presence of Cost Functions Controlled by an Adversary
H. B. Mcmahan, Geoffrey J. Gordon and Avrim Blum
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003