"A Generative Modeling Approach to Calibrated Predictions: A Use Case on ..."

Iñigo Urteaga et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-05-17

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/mlhc/UrteagaLSVWE21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/mlhc/UrteagaLSVWE21
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. MLHC 2021: 535-566

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.