Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold

Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines. Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold. 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 1228-1258, PMLR, 2023. [doi]

Abstract

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