FRIDA is a proximal DC algorithm for signed Fréchet regression on complete Riemannian manifolds with two-sided bounded curvature, with proofs of minimizer existence, strong convexity of subproblems, and convergence.
Fréchet regression for random objects with euclidean predictors.The Annals of Statistics, 47(2):691–719
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Proximal DCA for Fr\'echet Regression on Riemannian Manifolds with Bounded Curvature
FRIDA is a proximal DC algorithm for signed Fréchet regression on complete Riemannian manifolds with two-sided bounded curvature, with proofs of minimizer existence, strong convexity of subproblems, and convergence.