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Disentangling Adaptive Gradient Methods from Learning Rates, , , , and . (2020)cite arxiv:2002.11803.Blackwell Approachability and Low-Regret Learning are Equivalent, , and . CoRR, (2010)Introduction to Online Convex Optimization. Foundations and Trends in Optimization Now, Boston, (2017)Almost Optimal Sublinear Time Algorithm for Semidefinite Programming, and . CoRR, (2012)Lower Bounds for Higher-Order Convex Optimization., and . COLT, volume 75 of Proceedings of Machine Learning Research, page 774-792. PMLR, (2018)Projection-free Online Learning., and . ICML, icml.cc / Omnipress, (2012)On the Complexity of Approximating k-Dimensional Matching., , and . RANDOM-APPROX, volume 2764 of Lecture Notes in Computer Science, page 83-97. Springer, (2003)Provably Efficient Maximum Entropy Exploration., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2681-2691. PMLR, (2019)Extreme Tensoring for Low-Memory Preconditioning., , , , and . CoRR, (2019)Online Time Series Prediction with Missing Data., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2191-2199. JMLR.org, (2015)