Guillaume Papa, Aurélien Bellet, Stéphan Clémençon. On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability. 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 694-702, 2016. [doi]
@inproceedings{PapaBC16,
title = {On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability},
author = {Guillaume Papa and Aurélien Bellet and Stéphan Clémençon},
year = {2016},
url = {http://papers.nips.cc/paper/6588-on-graph-reconstruction-via-empirical-risk-minimization-fast-learning-rates-and-scalability},
researchr = {https://researchr.org/publication/PapaBC16},
cites = {0},
citedby = {0},
pages = {694-702},
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},
}