Tomoya Murata, Taiji Suzuki. Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 5317-5326, 2018. [doi]
@inproceedings{MurataS18,
title = {Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation},
author = {Tomoya Murata and Taiji Suzuki},
year = {2018},
url = {http://papers.nips.cc/paper/7777-sample-efficient-stochastic-gradient-iterative-hard-thresholding-method-for-stochastic-sparse-linear-regression-with-limited-attribute-observation},
researchr = {https://researchr.org/publication/MurataS18},
cites = {0},
citedby = {0},
pages = {5317-5326},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}