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.
On the convergence of the proximal algorithm for nonsmooth func- tions involving analytic features.Mathematical Programming, 116(1):5–16, 2009
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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.