Curvature and complexity: Better lower bounds for geodesically convex optimization - researchr publication authors

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Christopher Criscitiello, Nicolas Boumal. Curvature and complexity: Better lower bounds for geodesically convex optimization. In Gergely Neu, Lorenzo Rosasco, editors, The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India. Volume 195 of Proceedings of Machine Learning Research, pages 2969-3013, PMLR, 2023. [doi]

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