Random search for hyper-parameter optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials ar...
Publications
2 shownAn empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 8,937
- Institution
- Université de Montréal
External Links
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.