Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/mlhc/UrteagaLSVWE21
%A Urteaga, Iñigo
%A Li, Kathy
%A Shea, Amanda
%A Vitzthum, Virginia J.
%A Wiggins, Chris H.
%A Elhadad, Noemie
%B MLHC
%D 2021
%E Jung, Ken
%E Yeung, Serena
%E Sendak, Mark P.
%E Sjoding, Michael W.
%E Ranganath, Rajesh
%I PMLR
%K dblp
%P 535-566
%T A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction.
%U http://dblp.uni-trier.de/db/conf/mlhc/mlhc2021.html#UrteagaLSVWE21
%V 149
@inproceedings{conf/mlhc/UrteagaLSVWE21,
added-at = {2023-05-17T00:00:00.000+0200},
author = {Urteaga, Iñigo and Li, Kathy and Shea, Amanda and Vitzthum, Virginia J. and Wiggins, Chris H. and Elhadad, Noemie},
biburl = {https://www.bibsonomy.org/bibtex/282688622f8ca033dbbf52d2ae5a89409/dblp},
booktitle = {MLHC},
crossref = {conf/mlhc/2021},
editor = {Jung, Ken and Yeung, Serena and Sendak, Mark P. and Sjoding, Michael W. and Ranganath, Rajesh},
ee = {https://proceedings.mlr.press/v149/urteaga21a.html},
interhash = {0b9fba284deb95ec3c827fd395db2177},
intrahash = {82688622f8ca033dbbf52d2ae5a89409},
keywords = {dblp},
pages = {535-566},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-10T02:36:45.000+0200},
title = {A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction.},
url = {http://dblp.uni-trier.de/db/conf/mlhc/mlhc2021.html#UrteagaLSVWE21},
volume = 149,
year = 2021
}