Name
Abstract | ||
|---|---|---|
We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizing the multi-information of a set of variables or the mutual information of two subsets of variables, at a lower computation and estimation complexity. We describe the maximizers and their relations to the maximizers of the multi-information and the mutual information. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.14736/kyb-2020-5-0948 | KYBERNETIKA |
Keywords | DocType | Volume |
multi-information, mutual information, divergence maximization, marginal specification problem, transportation polytope | Journal | 56 |
Issue | ISSN | Citations |
5 | 0023-5954 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Merkh | 1 | 0 | 0.34 |
| Guido Montufar | 2 | 7 | 5.63 |