REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

George Tucker, Andriy Mnih, Chris J. Maddison, Jascha Sohl-Dickstein. REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings. OpenReview.net, 2017. [doi]

@inproceedings{TuckerMMS17,
  title = {REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models},
  author = {George Tucker and Andriy Mnih and Chris J. Maddison and Jascha Sohl-Dickstein},
  year = {2017},
  url = {https://openreview.net/forum?id=ryBDyehOl},
  researchr = {https://researchr.org/publication/TuckerMMS17},
  cites = {0},
  citedby = {0},
  booktitle = {5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings},
  publisher = {OpenReview.net},
}