Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity

Dan Garber. Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity. In Kamalika Chaudhuri, Masashi Sugiyama, editors, The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan. Volume 89 of Proceedings of Machine Learning Research, pages 295-303, PMLR, 2019. [doi]

Abstract

Abstract is missing.