2024
Model Assessment and Selection under Temporal Distribution Shift
ICML 2024poster
We investigate model assessment and selection in a changing environment, by synthesizing datasets from both the current time period and historical epochs. To tackle unknown and potentially arbitrary temporal distribution shift, we develop an adaptive rolling window approach to estimate the generaliz…