Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives

Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang 0007, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford. Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. In Alina Beygelzimer, Daniel Hsu 0001, editors, Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA. Volume 99 of Proceedings of Machine Learning Research, pages 1392-1393, PMLR, 2019. [doi]

Abstract

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