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Directional smoothness and gradient methods: Convergence and adaptivity
We develop new sub-optimality bounds for gradient descent (GD) that depend on the
conditioning of the objective along the path of optimization, rather than on global, worst-case …
conditioning of the objective along the path of optimization, rather than on global, worst-case …
Glocal Smoothness: Line Search can really help!
Iteration complexities are bounds on the number of iterations of an algorithm. Iteration
complexities for first-order numerical optimization algorithms are typically stated in terms of a …
complexities for first-order numerical optimization algorithms are typically stated in terms of a …