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Clarke Subgradients for Directionally Lipschitzian Stratifiable Functions., , and . Math. Oper. Res., 40 (2): 328-349 (2015)From Low Probability to High Confidence in Stochastic Convex Optimization., , , and . J. Mach. Learn. Res., (2021)Stochastic algorithms with geometric step decay converge linearly on sharp functions., , and . Math. Program., 207 (1): 145-190 (September 2024)Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods., and . Math. Oper. Res., 43 (3): 919-948 (2018)Stochastic Optimization with Decision-Dependent Distributions., and . Math. Oper. Res., 48 (2): 954-998 (May 2023)Active strict saddles in nonsmooth optimization., and . CoRR, (2019)Multiplayer Performative Prediction: Learning in Decision-Dependent Games., , , , and . J. Mach. Learn. Res., (2023)Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality., , and . CoRR, (2022)Iterative Linearized Control: Stable Algorithms and Complexity Guarantees., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5518-5527. PMLR, (2019)Stochastic subgradient method converges at the rate O(k-1/4) on weakly convex functions., and . CoRR, (2018)