Nikolaos Perrakis

Estimating Model Performance Under Covariate Shift Without Labels

After deployment, machine learning models often experience performance degradation due to shifts in data distribution. It is challenging to assess post-deployment performance accurately when labels are missing or delayed. Existing proxy methods, such as data drift detection, fail to measure the effe…