Cargando…
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models †
We study convex empirical risk minimization for high-dimensional inference in binary linear classification under both discriminative binary linear models, as well as generative Gaussian-mixture models. Our first result sharply predicts the statistical performance of such estimators in the proportion...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910944/ https://www.ncbi.nlm.nih.gov/pubmed/33573327 http://dx.doi.org/10.3390/e23020178 |