Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction

Zhan Shi, Xinhua Zhang, Yaoliang Yu. Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction. 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 6033-6043, 2017. [doi]

@inproceedings{ShiZY17-1,
  title = {Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction},
  author = {Zhan Shi and Xinhua Zhang and Yaoliang Yu},
  year = {2017},
  url = {http://papers.nips.cc/paper/7184-bregman-divergence-for-stochastic-variance-reduction-saddle-point-and-adversarial-prediction},
  researchr = {https://researchr.org/publication/ShiZY17-1},
  cites = {0},
  citedby = {0},
  pages = {6033-6043},
  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},
}