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 gradient descent for finding the Riemannian center of mass.SIAM Journal on Control and Optimization, 51(3):2230–2260, 2013
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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.