Hessian-aware scalar scalings of the gradient yield a local unit step size guarantee and global convergence under weakened smoothness assumptions.
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First-ish Order Methods: Hessian-aware Scalings of Gradient Descent
Hessian-aware scalar scalings of the gradient yield a local unit step size guarantee and global convergence under weakened smoothness assumptions.