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Gradient Descent Converges to Minimizers., , , и . CoRR, (2016)Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification., , , , и . COLT, том 75 из Proceedings of Machine Learning Research, стр. 439-473. PMLR, (2018)The Implicit Fairness Criterion of Unconstrained Learning., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4051-4060. PMLR, (2019)Delayed Impact of Fair Machine Learning., , , , и . IJCAI, стр. 6196-6200. ijcai.org, (2019)Learning the Linear Quadratic Regulator from Nonlinear Observations., , , , , , , и . NeurIPS, (2020)On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective., , , и . CDC, стр. 742-749. IEEE, (2021)Best-of-K-bandits., , и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 1440-1489. JMLR.org, (2016)Online Control of Unknown Time-Varying Dynamical Systems., , , и . NeurIPS, стр. 15934-15945. (2021)Towards a Dimension-Free Understanding of Adaptive Linear Control., , , и . COLT, том 134 из Proceedings of Machine Learning Research, стр. 3681-3770. PMLR, (2021)The Power of Learned Locally Linear Models for Nonlinear Policy Optimization., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 27737-27821. PMLR, (2023)