2025
Optimizing importance weighting in the presence of sub-population shifts
ICLR 2025poster
A distribution shift between the training and test data can severely harm performance of machine learning models. Importance weighting addresses this issue by assigning different weights to data points during training. We argue that existing heuristics for determining the weights are suboptimal, as…