Yakov Vaisbourd

According to our database, Yakov Vaisbourd authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An elementary approach to tight worst case complexity analysis of gradient based methods.

Marc Teboulle, Yakov Vaisbourd

Math. Program., 2023

2022

Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms.

Yakov Vaisbourd, Rustum Choksi, Ariel Goodwin, Tim Hoheisel, Carola-Bibiane Schönlieb

CoRR, 2022

2020

Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints.

Marc Teboulle, Yakov Vaisbourd

SIAM J. Imaging Sci., 2020

2018

First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems.

Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd

SIAM J. Optim., 2018

Globally Solving the Trust Region Subproblem Using Simple First-Order Methods.

Amir Beck, Yakov Vaisbourd

SIAM J. Optim., 2018

2016

Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems.

Amir Beck, Luba Tetruashvili, Yakov Vaisbourd, Ariel Shemtov

Oper. Res. Lett., 2016

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms.

Amir Beck, Yakov Vaisbourd

J. Optim. Theory Appl., 2016