Machine Learning for Faster Dynamic Graph Algorithms
1 : Carnegie Mellon University [Pittsburgh]
This talk will discuss a model for augmenting discrete optimization algorithms with machine learned predictions to improve algorithm performance. The talk will discuss how to speed up dynamic graph algorithms via machine learned warm start.
| Type : | : | Soumission de Résumé |
| Thématiques | : | Présentation régulière (~20 min) |
| PDF version | : |  PDF version |
