Rhiannon Rose, Daniel Lizotte. gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity. In Finale Doshi-Velez, Jim Fackler, David C. Kale, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the 1st Machine Learning in Health Care, MLHC 2016, Los Angeles, CA, USA, August 19-20, 2016. Volume 56 of JMLR Workshop and Conference Proceedings, pages 134-149, JMLR.org, 2016. [doi]
@inproceedings{RoseL16,
title = {gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity},
author = {Rhiannon Rose and Daniel Lizotte},
year = {2016},
url = {http://jmlr.org/proceedings/papers/v56/Rose16.html},
researchr = {https://researchr.org/publication/RoseL16},
cites = {0},
citedby = {0},
pages = {134-149},
booktitle = {Proceedings of the 1st Machine Learning in Health Care, MLHC 2016, Los Angeles, CA, USA, August 19-20, 2016},
editor = {Finale Doshi-Velez and Jim Fackler and David C. Kale and Byron C. Wallace and Jenna Wiens},
volume = {56},
series = {JMLR Workshop and Conference Proceedings},
publisher = {JMLR.org},
}