Yakov Vaisbourd - researchr alias

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Viewing Publication 1 - 6 from 6

2023

An elementary approach to tight worst case complexity analysis of gradient based methodsMarc Teboulle, Yakov Vaisbourd. mp, 201(1):63-96, 2023. [doi]

2020

Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity ConstraintsMarc Teboulle, Yakov Vaisbourd. siamis, 13(1):381-421, 2020. [doi]

2018

Globally Solving the Trust Region Subproblem Using Simple First-Order MethodsAmir Beck, Yakov Vaisbourd. siamjo, 28(3):1951-1967, 2018. [doi]

First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse ProblemsJérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd. siamjo, 28(3):2131-2151, 2018. [doi]

2016

The Sparse Principal Component Analysis Problem: Optimality Conditions and AlgorithmsAmir Beck, Yakov Vaisbourd. jota, 170(1):119-143, 2016. [doi]

Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problemsAmir Beck, Luba Tetruashvili, Yakov Vaisbourd, Ariel Shemtov. orl, 44(1):61-66, 2016. [doi]

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