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