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Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations., и . COLT, том 35 из JMLR Workshop and Conference Proceedings, стр. 1020-1039. JMLR.org, (2014)Better Algorithms for Selective Sampling., и . ICML, стр. 433-440. Omnipress, (2011)Regression-tree Tuning in a Streaming Setting., и . NIPS, стр. 1788-1796. (2013)Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers., , , , и . NeurIPS, стр. 26237-26249. (2021)Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 6643-6670. PMLR, (2023)Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 7664-7672. PMLR, (2019)Self-Directed Learning of Convex Labelings on Graphs., , , , и . CoRR, (2024)On Measure Concentration of Random Maximum A-Posteriori Perturbations., , , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 432-440. JMLR.org, (2014)Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion., , , , , и . CoRR, (2023)Simulation and Assessment of Bioinspired Visual Processing System for Epi-retinal Prostheses., , , и . EMBC, стр. 3278-3281. IEEE, (2006)