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Convergence guarantees for a class of non-convex and non-smooth optimization problems., и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2606-2615. PMLR, (2018)Instance-Dependent Confidence and Early Stopping for Reinforcement Learning., , , и . CoRR, (2022)A Peak Synchronization Measure for Multiple Signals., , и . IEEE Trans. Signal Process., 62 (17): 4390-4398 (2014)Theoretical guarantees for EM under misspecified Gaussian mixture models., , , , и . NeurIPS, стр. 9704-9712. (2018)Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning., , , и . CoRR, (2021)Adaptive Linear Estimating Equations., , и . CoRR, (2023)Semi-parametric inference based on adaptively collected data., , и . CoRR, (2023)Optimal variance-reduced stochastic approximation in Banach spaces., , , , и . CoRR, (2022)Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems., , , , , и . CoRR, (2018)Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis., , , , и . SIAM J. Math. Data Sci., 3 (4): 1013-1040 (2021)