"Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift."

Ananya Kumar et al. (2022)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-10-15

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/uai/Kumar0LR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/uai/Kumar0LR22
Ananya Kumar, Tengyu Ma, Percy Liang, Aditi Raghunathan:
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift. UAI 2022: 1041-1051

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.