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Frank-Wolfe Splitting via Augmented Lagrangian Method., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1456-1465. PMLR, (2018)SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 3548-3626. PMLR, (2021)Efficient and Modular Implicit Differentiation., , , , , , , and . NeurIPS, (2022)The Curse of Unrolling: Rate of Differentiating Through Optimization., , , and . NeurIPS, (2022)Only tails matter: Average-Case Universality and Robustness in the Convex Regime., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4474-4491. PMLR, (2022)Super-Acceleration with Cyclical Step-sizes., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3028-3065. PMLR, (2022)Scikit-learn: Machine Learning in Python. (2011)Scikit-learn: Machine learning in Python, , , , , , , , , and . Journal of Machine Learning Research, 12 (Oct): 2825--2830 (2011)Average-case Acceleration for Bilinear Games and Normal Matrices., , and . ICLR, OpenReview.net, (2021)SymPy: symbolic computing in Python., , , , , , , , , and 17 other author(s). PeerJ Comput. Sci., (2017)