Sören Laue, Matthias Mitterreiter, Joachim Giesen. GENO - GENeric Optimization for Classical Machine Learning. 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 2187-2198, 2019. [doi]
@inproceedings{LaueMG19,
title = {GENO - GENeric Optimization for Classical Machine Learning},
author = {Sören Laue and Matthias Mitterreiter and Joachim Giesen},
year = {2019},
url = {http://papers.nips.cc/paper/8491-geno-generic-optimization-for-classical-machine-learning},
researchr = {https://researchr.org/publication/LaueMG19},
cites = {0},
citedby = {0},
pages = {2187-2198},
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},
}