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Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex Optimization.

, and . UAI, AUAI Press, (2016)

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Accelerating Online Convex Optimization via Adaptive Prediction., and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 848-856. JMLR.org, (2016)Online Learning with Sleeping Experts and Feedback Graphs., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1370-1378. PMLR, (2019)Conditional Swap Regret and Conditional Correlated Equilibrium., and . NIPS, page 1314-1322. (2014)Semi-automated Annotation of Signal Events in Clinical EEG Data., , , , and . CoRR, (2018)AdaNet: Adaptive Structural Learning of Artificial Neural Networks, , , , and . (2016)An Analysis of Two Common Reference Points for EEGs., , , , , and . CoRR, (2018)AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles., , , , , , , , , and 2 other author(s). CoRR, (2019)Optimistic Bandit Convex Optimization., and . NIPS, page 2289-2297. (2016)AdaNet: Adaptive Structural Learning of Artificial Neural Networks., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 874-883. PMLR, (2017)No-Regret Algorithms for Heavy-Tailed Linear Bandits., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1642-1650. JMLR.org, (2016)