Empirical Inference
Conference Paper
2020
Testing Goodness of Fit of Conditional Density Models with Kernels
| Author(s): | Jitkrittum, W. and Kanagawa, H. and Schölkopf, B |
| Book Title: | Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI) |
| Volume: | 124 |
| Pages: | 221--230 |
| Year: | 2020 |
| Month: | August |
| Series: | Proceedings of Machine Learning Research |
| Editors: | Jonas Peters and David Sontag |
| Publisher: | PMLR |
| Project(s): | |
| Bibtex Type: | Conference Paper (conference) |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | http://proceedings.mlr.press/v124/jitkrittum20a.html |
| Electronic Archiving: | grant_archive |
BibTex
@conference{JitKanSch20,
title = {Testing Goodness of Fit of Conditional Density Models with Kernels},
booktitle = {Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)},
volume = {124},
pages = {221--230},
series = {Proceedings of Machine Learning Research},
editors = {Jonas Peters and David Sontag},
publisher = {PMLR},
month = aug,
year = {2020},
slug = {jitkansch20},
author = {Jitkrittum, W. and Kanagawa, H. and Sch{\"o}lkopf, B},
url = {http://proceedings.mlr.press/v124/jitkrittum20a.html},
month_numeric = {8}
}