Name
Title | ||
|---|---|---|
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization. |
Abstract | ||
|---|---|---|
Generalized linear models, where a random vector x is observed through a noisy, possibly nonlinear, function of a linear transform z = Ax, arise in a range of applications in nonlinear filtering and regression. Approximate message passing (AMP) methods, based on loopy belief propagation, are a promising class of approaches for approximate inference in these models. AMP methods are computationally ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIT.2016.2619373 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Minimization,Transforms,Approximation algorithms,Optimization,Electronic mail,Estimation,Message passing | Inner loop,Discrete mathematics,Approximation algorithm,Combinatorics,Approximate inference,Maxima and minima,Convex function,Multivariate random variable,Mathematics,Belief propagation,Energy minimization | Journal |
Volume | Issue | ISSN |
63 | 1 | 0018-9448 |
Citations | PageRank | References |
9 | 0.52 | 36 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sundeep Rangan | 1 | 3101 | 163.90 |
| Alyson K. Fletcher | 2 | 552 | 41.10 |
| Philip Schniter | 3 | 1620 | 93.74 |
| Ulugbek Kamilov | 4 | 177 | 19.34 |