Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad. A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. In Ken Jung, Serena Yeung, Mark P. Sendak, Michael W. Sjoding, Rajesh Ranganath, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2021, 6-7 August 2021, Virtual Event. Volume 149 of Proceedings of Machine Learning Research, pages 535-566, PMLR, 2021. [doi]
Abstract is missing.