Paavo Parmas, Masashi Sugiyama. A unified view of likelihood ratio and reparameterization gradients. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 4078-4086, PMLR, 2021. [doi]
@inproceedings{ParmasS21,
title = {A unified view of likelihood ratio and reparameterization gradients},
author = {Paavo Parmas and Masashi Sugiyama},
year = {2021},
url = {http://proceedings.mlr.press/v130/parmas21a.html},
researchr = {https://researchr.org/publication/ParmasS21},
cites = {0},
citedby = {0},
pages = {4078-4086},
booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
volume = {130},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}