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Efficient bandit algorithms for online multiclass prediction.

, , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 440-447. ACM, (2008)

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On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization, , and . (2009)High-Probability Regret Bounds for Bandit Online Linear Optimization., , , , , and . COLT, page 335-342. Omnipress, (2008)Leverage Score Sampling for Faster Accelerated Regression and ERM., , , , , and . ALT, volume 117 of Proceedings of Machine Learning Research, page 22-47. PMLR, (2020)Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 64-66. PMLR, (2020)Efficient bandit algorithms for online multiclass prediction., , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 440-447. ACM, (2008)Learning Linear Bayesian Networks with Latent Variables., , , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 249-257. JMLR.org, (2013)A Tensor Spectral Approach to Learning Mixed Membership Community Models., , , and . COLT, volume 30 of JMLR Workshop and Conference Proceedings, page 867-881. JMLR.org, (2013)An Alternate Objective Function for Markovian Fields., , and . ICML, page 275-282. Morgan Kaufmann, (2002)Prediction with a short memory., , , and . STOC, page 1074-1087. ACM, (2018)Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design., , , and . ICML, page 1015-1022. Omnipress, (2010)