Activity Number:
|
272
- Statistical Learning for Complex and High-Dimensional Data
|
Type:
|
Invited
|
Date/Time:
|
Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
|
Sponsor:
|
IMS
|
Abstract #300214
|
|
Title:
|
Estimation and Inversion of Generative Networks
|
Author(s):
|
John Lafferty*
|
Companies:
|
Yale University
|
Keywords:
|
deep learning;
GAN;
variational autoencoder;
copula;
inverse problem;
latent variable models
|
Abstract:
|
We present recent results on estimation and inversion of generative networks, which can be viewed as alternatives to copula-based models for multivariate data with mixed continuous and categorial variables.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2019 program
|