Aryan Mokhtari, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Alejandro Ribeiro. Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 4062-4070, 2016. [doi]
@inproceedings{MokhtariDLHR16,
title = {Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy},
author = {Aryan Mokhtari and Hadi Daneshmand and Aurélien Lucchi and Thomas Hofmann and Alejandro Ribeiro},
year = {2016},
url = {http://papers.nips.cc/paper/6262-adaptive-newton-method-for-empirical-risk-minimization-to-statistical-accuracy},
researchr = {https://researchr.org/publication/MokhtariDLHR16},
cites = {0},
citedby = {0},
pages = {4062-4070},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}