Reducing Reparameterization Gradient Variance

Andrew C. Miller, Nick Foti, Alexander D'Amour, Ryan P. Adams. Reducing Reparameterization Gradient Variance. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 3711-3721, 2017. [doi]

@inproceedings{MillerFDA17,
  title = {Reducing Reparameterization Gradient Variance},
  author = {Andrew C. Miller and Nick Foti and Alexander D'Amour and Ryan P. Adams},
  year = {2017},
  url = {http://papers.nips.cc/paper/6961-reducing-reparameterization-gradient-variance},
  researchr = {https://researchr.org/publication/MillerFDA17},
  cites = {0},
  citedby = {0},
  pages = {3711-3721},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}