This work is concerned with the overdetermined linear least-squares problem for large scale data. We generalize the iterative Hessian sketching (IHS) algorithm ...
Abstract. This work is concerned with the overdetermined linear least-squares problem for large scale data. We generalize the iterative Hessian sketching.
Iterative Double Sketching for Faster. Least-Squares Optimization. Rui Wang ... ▷ Our idea: approximate both the gradient and the Hessian. Page 5. Iterative ...
Nov 6, 2019 · We investigate iterative methods with randomized preconditioners for solving overdetermined least-squares problems.
Missing: Double | Show results with:Double
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Abstract. We study randomized sketching methods for approximately solving least-squares problem with a general convex constraint.
Missing: Double | Show results with:Double
[PDF] Faster Least Squares Optimization | Semantic Scholar
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This work investigates randomized methods for solving overdetermined linear least-squares problems, where the Hessian is approximated based on a random ...
Missing: Double | Show results with:Double
Nov 20, 2023 · A direct use of sketching (i.e., sketch-and-solve) leads to a fast, low-accuracy solution to least-squares problems. But sketching can achieve ...
Missing: Double Optimization.
Nov 13, 2023 · A direct use of sketching (i.e., sketch-and-solve) leads to a fast, low-accuracy solution to least-squares problems. But sketching can achieve ...
Missing: Double Optimization.
Sep 22, 2024 · This paper focuses on applying sketch-and-solve algorithms to efficiently solve the overdetermined least squares problem, which is fundamental ...