Under a new scaled Kurdyka-Łojasiewicz property, Bregman projected gradient with the Shannon entropy kernel converges to critical points for continuous subanalytic objectives, with linear rates when the scaled exponent is 1/2.
Hessian Riemannian gradient flows in convex programming.SIAM journal on control and optimization, 43(2):477–501, 2004
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On the Iterate Convergence of Bregman Projected Gradient Method
Under a new scaled Kurdyka-Łojasiewicz property, Bregman projected gradient with the Shannon entropy kernel converges to critical points for continuous subanalytic objectives, with linear rates when the scaled exponent is 1/2.