Yakov Vaisbourd

The Sparse PCA Problem: Optimality Conditions and Algorithms

A. Beck, Yakov Vaisbourd, 2015 .

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

M. Teboulle, Yakov Vaisbourd, 2022, Mathematical Programming.

Maximum Entropy on the Mean and the Cram\'er Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms

C. Schonlieb, T. Hoheisel, R. Choksi, 2022, 2211.05205.

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

C. Schönlieb, T. Hoheisel, R. Choksi, 2022, ArXiv.

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

Marc Teboulle, Shoham Sabach, Jérôme Bolte, 2017, SIAM J. Optim..

Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints

Marc Teboulle, Yakov Vaisbourd, M. Teboulle, 2020, SIAM J. Imaging Sci..

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms

Amir Beck, Yakov Vaisbourd, A. Beck, 2015, Journal of Optimization Theory and Applications.