In this paper, we study accelerated regularized Newton methods for minimizing objectives formed as a sum of two functions: one is convex and twice differentiable with Hölder-continuous Hessian, and the other is a simple closed convex function.
Nunes Grapiglia, G., & Nesterov, Y. (2019). Accelerated Regularized Newton Methods for Minimizing Composite Convex Functions. SIAM Journal on Optimization, 29(1), 77-99. https://doi.org/10.1137/17m1142077 (Original work published 2019)