Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_optimization
|
| gptkbp:advantage |
handles sparse data well
|
| gptkbp:alsoKnownAs |
gptkb:AdaGrad
|
| gptkbp:feature |
adapts learning rate for each parameter
|
| gptkbp:limitation |
learning rate decays too aggressively
|
| gptkbp:mainActivity |
deep learning
stochastic optimization convex optimization |
| gptkbp:proposedBy |
gptkb:Yoram_Singer
gptkb:Elad_Hazan gptkb:John_Duchi 2011 |
| gptkbp:publishedIn |
gptkb:Journal_of_Machine_Learning_Research
|
| gptkbp:relatedTo |
gptkb:Adam
gptkb:RMSProp gradient descent |
| gptkbp:url |
https://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
|
| gptkbp:usedIn |
gptkb:machine_learning
|
| gptkbp:bfsParent |
gptkb:AdaGrad
|
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
Adaptive Gradient Algorithm
|