Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series

Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens. Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. In Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA. Volume 106 of Proceedings of Machine Learning Research, pages 27-52, PMLR, 2019. [doi]

@inproceedings{OhWTSW19,
  title = {Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series},
  author = {Jeeheh Oh and Jiaxuan Wang and Shengpu Tang and Michael W. Sjoding and Jenna Wiens},
  year = {2019},
  url = {http://proceedings.mlr.press/v106/oh19a.html},
  researchr = {https://researchr.org/publication/OhWTSW19},
  cites = {0},
  citedby = {0},
  pages = {27-52},
  booktitle = {Proceedings of the  Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA},
  editor = {Finale Doshi-Velez and Jim Fackler and Ken Jung and David C. Kale and Rajesh Ranganath and Byron C. Wallace and Jenna Wiens},
  volume = {106},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}