Overview on First Order Methods For Geodesically Convex Optimization
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An Estimate Sequence for Geodesically Convex Optimization
First Order Methods (subgradient, projected gradient)
First-Order Methods for Convex Constrained Optimization under Error Bound Conditions
Towards a theory of non commutative optimization: geodesic 1st and 2nd order methods for moment maps
Geometric Methods for Machine Learning and Optimization
G.Calafiore. Introduction to first-order and coordinate-descent methods for convex optimization. P.1
An Introduction to Geodesic Convexity - Nisheeth Vishnoi
OWOS: Dan Garber -Projection-Efficient First-Order Methods for Convex Low-Rank Matrix Optimization
Optimization: Higher-order Methods Part 1
Operator Scaling via Geodesically Convex Optimization, Invariant Theory... - Yuanzhi Li
Operator Scaling via Geodesically Convex Optimization, Invariant... (Continued) - Yuanzhi Li
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Last Updated: August 16, 2026
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