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Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation., and . COLT, volume 19 of JMLR Proceedings, page 457-476. JMLR.org, (2011)Consistent algorithms for multi-label classification with macro-at-k metrics., , , , , and . CoRR, (2024)Beyond Sequential Covering - Boosted Decision Rules., , and . Advances in Machine Learning I, volume 262 of Studies in Computational Intelligence, Springer, (2010)Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints., , and . RSKT, volume 5009 of Lecture Notes in Computer Science, page 260-267. Springer, (2008)Robust Online Convex Optimization in the Presence of Outliers., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 4174-4194. PMLR, (2021)Learning of Rule Ensembles for Multiple Attribute Ranking Problems., , , and . Preference Learning, Springer, (2010)Solving Regression by Learning an Ensemble of Decision Rules., , and . ICAISC, volume 5097 of Lecture Notes in Computer Science, page 533-544. Springer, (2008)Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization., , , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1130-1138. JMLR.org, (2013)Bounds on Individual Risk for Log-loss Predictors., and . COLT, volume 19 of JMLR Proceedings, page 813-816. JMLR.org, (2011)The Many Faces of Exponential Weights in Online Learning., , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 2067-2092. PMLR, (2018)