4 citations · 4 across the 3 of their papers we have counts for
3 papers
math.ST2022
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 +2
We explore a method of statistical estimation called Maximum Entropy on the Mean (MEM) which is based on an information-driven criterion that quantifies the compliance of a given p…
math.OC2017★ 4 cited
First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
Jérôme Bolte, Shoham Sabach, Marc Teboulle +1
We focus on nonconvex and nonsmooth minimization problems with a composite objective, where the differentiable part of the objective is freed from the usual and restrictive global…
math.OC2015
The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms
Amir Beck, Yakov Vaisbourd
Sparse principal component analysis addresses the problem of finding a linear combination of the variables in a given data set with a sparse coefficients vector that maximizes the…