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ZigZag: A New Approach to Adaptive Online Learning.

, , and . COLT, volume 65 of Proceedings of Machine Learning Research, page 876-924. PMLR, (2017)

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Online Learning: Sufficient Statistics and the Burkholder Method., , and . COLT, volume 75 of Proceedings of Machine Learning Research, page 3028-3064. PMLR, (2018)Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization., , and . ICML, icml.cc / Omnipress, (2012)High-Probability Regret Bounds for Bandit Online Linear Optimization., , , , , and . COLT, page 335-342. Omnipress, (2008)Information-Based Complexity, Feedback and Dynamics in Convex Programming., and . IEEE Trans. Inf. Theory, 57 (10): 7036-7056 (2011)On Detection and Structural Reconstruction of Small-World Random Networks., , and . IEEE Trans. Network Science and Engineering, 4 (3): 165-176 (2017)Online discovery of similarity mappings., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 767-774. ACM, (2007)Online Learning with Predictable Sequences, and . CoRR, (2012)Relax and Localize: From Value to Algorithms, , and . CoRR, (2012)Fast Mixing of Multi-Scale Langevin Dynamics underthe Manifold Hypothesis., , , and . CoRR, (2020)On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities., and . COLT, volume 65 of Proceedings of Machine Learning Research, page 1704-1722. PMLR, (2017)