Jun 20, 2022 · We provide a black-box first-order method, the Information-Theoretic Exact Method (ITEM), designed for minimizing smooth strongly convex functions.
Jan 24, 2021 · The method is optimal in the sense that its worst-case bound on the distance to an optimal point exactly matches the lower bound on the oracle ...
We present an optimal gradient method for smooth strongly convex optimization. The method is optimal in the sense that its worst-case bound on the distance ...
We present an optimal gradient method for smooth (possibly strongly) convex optimization. The method is optimal in the sense that its worst-case bound exactly ...
We present an optimal gradient method for smooth (possibly strongly) convex optimization. The method is optimal in the sense that its worst-case bound ...
Jun 20, 2022 · The method presented in this work was first obtained as a solution to a convex optimization problem, through an approach closely related to that ...
This work presents an optimal gradient method for smooth strongly convex optimization and provides a constructive recipe for obtaining the algorithmic ...
Sep 7, 2024 · We present an optimal gradient method for smooth (possibly strongly) convex optimization. The method is optimal in the sense that its ...
We provide lower bounds on the number of gradient computations and matrix multiplications to achieve a given accuracy. Then we propose an accelerated primal- ...
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Oct 22, 2024 · We present an optimal gradient method for smooth (possibly strongly) convex optimization. The method is optimal in the sense that its worst-case ...