Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu. Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 6926-6935, 2019. [doi]
@inproceedings{YuanLLLH19,
title = {Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent},
author = {Huizhuo Yuan and Xiangru Lian and Chris Junchi Li and Ji Liu and Wenqing Hu},
year = {2019},
url = {http://papers.nips.cc/paper/8916-efficient-smooth-non-convex-stochastic-compositional-optimization-via-stochastic-recursive-gradient-descent},
researchr = {https://researchr.org/publication/YuanLLLH19},
cites = {0},
citedby = {0},
pages = {6926-6935},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}