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An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient.

, , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 541-551. AUAI Press, (2019)

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On the optimality of clustering properties of space filling curves., and . PODS, page 215-224. ACM, (2012)Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5488-5497. PMLR, (2018)Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 684-693. PMLR, (2017)Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method., , and . CoRR, (2018)Attenuate Locally, Win Globally: An Attenuation-based Framework for Online Stochastic Matching with Timeouts., , , and . CoRR, (2018)Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization., , and . CoRR, (2017)Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima., , and . CoRR, (2017)Optimality of Clustering Properties of Space-Filling Curves., and . ACM Trans. Database Syst., 39 (2): 10:1-10:27 (2014)Merging Student's-t and Rayleigh distributions regression mixture model for clustering time-series., , and . Neurocomputing, (2017)Improved Approximation Algorithms for Stochastic-Matching Problems., , , , , and . CoRR, (2020)