Kevin Course, Prasanth B. Nair. Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{CourseN23-0,
title = {Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs},
author = {Kevin Course and Prasanth B. Nair},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/f72d4fdfd5eb425cd81df9fe6272a533-Abstract-Conference.html},
researchr = {https://researchr.org/publication/CourseN23-0},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}