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Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start., , и . CoRR, (2022)Convergence Properties of Stochastic Hypergradients., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3826-3834. PMLR, (2021)Learning-to-Learn Stochastic Gradient Descent with Biased Regularization., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1566-1575. PMLR, (2019)Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start., , и . J. Mach. Learn. Res., (2023)Is Mamba Capable of In-Context Learning?, , , , и . CoRR, (2024)Bilevel Programming for Hyperparameter Optimization and Meta-Learning., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1563-1572. PMLR, (2018)Convergence Properties of Stochastic Hypergradients., , и . CoRR, (2020)Group Meritocratic Fairness in Linear Contextual Bandits., , , , и . NeurIPS, (2022)Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning., , , , и . CoRR, (2018)Deep projection networks for learning time-homogeneous dynamical systems., , , , и . CoRR, (2023)