Name
Abstract | ||
|---|---|---|
This paper presents foundational theoretical results on distributed parameter estimation for undirected probabilistic graphical models. It introduces a general condition on composite likelihood decompositions of these models which guarantees the global consistency of distributed estimators, provided the local estimators are consistent. |
Year | Venue | Field |
|---|---|---|
2014 | ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014) | Mathematical optimization,Quasi-maximum likelihood,Computer science,Graphical model,Estimation theory,Global consistency,Estimator |
DocType | Volume | ISSN |
Conference | 27 | 1049-5258 |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yariv Dror Mizrahi | 1 | 8 | 0.93 |
| Misha Denil | 2 | 397 | 26.18 |
| Nando De Freitas | 3 | 3284 | 273.68 |