Name
Abstract | ||
|---|---|---|
The purpose of this article is to develop and study a decentralized strategy for Pareto optimization of an aggregate cost consisting of regularized risks. Each risk is modeled as the expectation of some loss function with unknown probability distribution, while the regularizers are assumed deterministic, but are not required to be differentiable or even continuous. The individual, regularized, cos... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TAC.2021.3081073 | IEEE Transactions on Automatic Control |
Keywords | DocType | Volume |
Smoothing methods,Aggregates,Eigenvalues and eigenfunctions,Cost function,Pareto optimization,Linear matrix inequalities,Electrical engineering | Journal | 67 |
Issue | ISSN | Citations |
5 | 0018-9286 | 0 |
PageRank | References | Authors |
0.34 | 39 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Vlaski | 1 | 23 | 11.39 |
| Lieven Vandenberghe | 2 | 1453 | 234.07 |
| Ali H. Sayed | 3 | 9134 | 667.71 |