Name
Abstract | ||
|---|---|---|
This article investigates the estimation and generalization errors of the generative adversarial network (GAN) training. On the statistical side, we develop an upper bound as well as a minimax lower bound on the estimation error for training GANs. The upper bound incorporates the roles of both the discriminator and the generator of GANs, and matches the minimax lower bound in terms of the sample s... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TIT.2021.3053234 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Gallium nitride,Training,Generators,Estimation error,Generative adversarial networks,Upper bound,Artificial neural networks | Journal | 67 |
Issue | ISSN | Citations |
5 | 0018-9448 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiyi Ji | 1 | 14 | 6.58 |
| Yi Zhou | 2 | 65 | 17.55 |
| Yingbin Liang | 3 | 1646 | 147.64 |