Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:citation |
2019
DPVI: Differentially Private Variational Inference |
| gptkbp:field |
gptkb:machine_learning
variational inference differential privacy |
| gptkbp:fullName |
Differentially Private Variational Inference
|
| gptkbp:goal |
enable variational inference with privacy guarantees
|
| https://www.w3.org/2000/01/rdf-schema#label |
DPVI
|
| gptkbp:introduced |
Adrian Weller
Daniel J. Beutel Joon Hee Choi Nicholas D. Lane |
| gptkbp:introducedIn |
2019
|
| gptkbp:publishedIn |
International Conference on Machine Learning (ICML) 2019
|
| gptkbp:purpose |
privacy-preserving Bayesian inference
|
| gptkbp:relatedTo |
Bayesian inference
variational Bayes DP-SGD |
| gptkbp:uses |
differential privacy mechanisms
stochastic variational inference |
| gptkbp:bfsParent |
gptkb:Democratic_Party_of_the_Virgin_Islands
|
| gptkbp:bfsLayer |
7
|