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Compressing to VC Dimension Many Points.. COLT, volume 2777 of Lecture Notes in Computer Science, page 743-744. Springer, (2003)Maximizing the Margin with Boosting., and . COLT, volume 2375 of Lecture Notes in Computer Science, page 334-350. Springer, (2002)Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1050-1069. PMLR, (2019)Entropy Regularized LPBoost., , and . ALT, volume 5254 of Lecture Notes in Computer Science, page 256-271. Springer, (2008)A Bayesian Probability Calculus for Density Matrices., and . CoRR, (2014)Tutorial summary: Survey of boosting from an optimization perspective., and . ICML, volume 382 of ACM International Conference Proceeding Series, page 15. ACM, (2009)Minimax Games with Bandits., and . COLT, (2009)Two-temperature logistic regression based on the Tsallis divergence., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2388-2396. PMLR, (2019)Classifying Learnable Geometric Concepts with the Vapnik-Chervonenkis Dimension (Extended Abstract), , , and . STOC, page 273-282. ACM, (1986)Additive versus exponentiated gradient updates for linear prediction., and . STOC, page 209-218. ACM, (1995)