440 citations · 1.4k across the 24 of their papers we have counts for
10 papers · 1 filter
Fault Identification via Non-parametric Belief Propagation
Danny Bickson, Dror Baron, Alex T. Ihler +2
We consider the problem of identifying a pattern of faults from a set of noisy linear measurements. Unfortunately, maximum a posteriori probability estimation of the fault pattern…
Distributed Sensor Selection using a Truncated Newton Method
Danny Bickson, Danny Dolev
We propose a new distributed algorithm for computing a truncated Newton method, where the main diagonal of the Hessian is computed using belief propagation. As a case study for thi…
Fixing Convergence of Gaussian Belief Propagation
Jason K. Johnson, Danny Bickson, Danny Dolev
Gaussian belief propagation (GaBP) is an iterative message-passing algorithm for inference in Gaussian graphical models. It is known that when GaBP converges it converges to the co…
A Low Density Lattice Decoder via Non-Parametric Belief Propagation
Danny Bickson, Alexander T. Ihler, Danny Dolev
The recent work of Sommer, Feder and Shalvi presented a new family of codes called low density lattice codes (LDLC) that can be decoded efficiently and approach the capacity of the…
Distributed Large Scale Network Utility Maximization
Danny Bickson, Yoav Tock, Argyris Zymnis +2
Recent work by Zymnis et al. proposes an efficient primal-dual interior-point method, using a truncated Newton method, for solving the network utility maximization (NUM) problem. T…
Gaussian Belief Propagation Solver for Systems of Linear Equations
Ori Shental, Paul H. Siegel, Jack K. Wolf +2
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we…