36 citations · 142 across the 15 of their papers we have counts for
17 papers
A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction
Tao Hong, Thanh-an Pham, Irad Yavneh +1
Over the years, computational imaging with accurate nonlinear physical models has garnered considerable interest due to its ability to achieve high-quality reconstructions. However…
pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
Gal Shalom, Eran Treister, Irad Yavneh
We propose a novel quasi-Newton method for solving the sparse inverse covariance estimation problem also known as the graphical least absolute shrinkage and selection operator (GLA…
On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems
Tao Hong, Irad Yavneh
Nesterov's well-known scheme for accelerating gradient descent in convex optimization problems is adapted to accelerating stationary iterative solvers for linear systems. Compared…
On the recursive structure of multigrid cycles
Or Avnat, Irad Yavneh
A new fixed (non-adaptive) recursive scheme for multigrid algorithms is introduced. Governed by a positive parameter called the cycle counter, this scheme generates a family of…
Adjustable Coins
Shlomo Moran, Irad Yavneh
In this paper we consider a scenario where there are several algorithms for solving a given problem. Each algorithm is associated with a probability of success and a cost, and ther…
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz, Meirav Galun, Haggai Maron +2
Efficient numerical solvers for sparse linear systems are crucial in science and engineering. One of the fastest methods for solving large-scale sparse linear systems is algebraic…