Statements (15)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
machine learning technique
|
| gptkbp:application |
hyperparameter tuning
optimization algorithms neural architecture search |
| gptkbp:goal |
automate the design of optimization algorithms
|
| https://www.w3.org/2000/01/rdf-schema#label |
L2O
|
| gptkbp:relatedTo |
gptkb:reinforcement_learning
meta-learning |
| gptkbp:researchArea |
gptkb:artificial_intelligence
gptkb:machine_learning |
| gptkbp:standsFor |
Learning to Optimize
|
| gptkbp:usedIn |
deep learning
operations research |
| gptkbp:bfsParent |
gptkb:Laurent_Gras
|
| gptkbp:bfsLayer |
6
|