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ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm.

, , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 909-981. PMLR, (2022)

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Low Permutation-rank Matrices: Structural Properties and Noisy Completion., , and . CoRR, (2017)Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 457-465. JMLR.org, (2015)Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 11-20. JMLR.org, (2016)Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates, , and . CoRR, (2013)Randomized sketches of convex programs with sharp guarantees., and . ISIT, page 921-925. IEEE, (2014)Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles., , and . NIPS, page 661-667. MIT Press, (2000)Divergences, surrogate loss functions and experimental design., , and . NIPS, page 1011-1018. (2005)A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers., , , and . NIPS, page 1348-1356. Curran Associates, Inc., (2009)Fast global convergence rates of gradient methods for high-dimensional statistical recovery., , and . NIPS, page 37-45. Curran Associates, Inc., (2010)Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9137-9166. PMLR, (2023)