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Arboral satisfaction: Recognition and LP approximation., , , , , , , , , and . Inf. Process. Lett., (2017)Accelerating Stochastic Gradient Descent., , , , and . CoRR, (2017)Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond., , and . CoRR, (2019)Improved Girth Approximation and Roundtrip Spanners., , , and . CoRR, (2019)Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation., , , , and . CoRR, (2015)Efficient Õ(n/ε) Spectral Sketches for the Laplacian and its Pseudoinverse., and . CoRR, (2017)Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More., , , , , and . CoRR, (2016)Accelerated Methods for Non-Convex Optimization., , , and . CoRR, (2016)Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm., , , , and . COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 1147-1164. JMLR.org, (2016)Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model., , , , and . NeurIPS, page 5192-5202. (2018)