I was curious whether confidence estimates become noticeably sensitive when probabilistic approximations are reused across downstream decision stages, especially under skewed attribute distributions.
It seems lightweight calibration after inference may sometimes stabilize behavior without changing the underlying estimation process.
I was curious whether confidence estimates become noticeably sensitive when probabilistic approximations are reused across downstream decision stages, especially under skewed attribute distributions.
It seems lightweight calibration after inference may sometimes stabilize behavior without changing the underlying estimation process.