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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems., , , , , and . CoRR, (2018)SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4283-4291. PMLR, (2018)Comunication-Efficient Algorithms for Statistical Optimization, , and . CoRR, (2012)Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients., , , and . CoRR, (2019)Challenges with EM in application to weakly identifiable mixture models., , , , , and . CoRR, (2019)Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2916-2925. PMLR, (2019)Restricted Eigenvalue Properties for Correlated Gaussian Designs., , and . J. Mach. Learn. Res., (2010)Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis., , , , and . SIAM J. Math. Data Sci., 3 (4): 1013-1040 (2021)Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations., , , and . IEEE Trans. Inf. Theory, 61 (5): 2788-2806 (2015)Stochastic processes on graphs with cycles: geometric and variational approaches.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2002)ndltd.org (oai:dspace.mit.edu:1721.1/8371).