Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound - researchr publication authors

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Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas. Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

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