2025
Adaptive Estimation and Learning under Temporal Distribution Shift
ICML 2025poster
In this paper, we study the problem of estimation and learning under temporal distribution shift. Consider an observation sequence of length $n$, which is a noisy realization of a time-varying ground-truth sequence. Our focus is to develop methods to estimate the groundtruth at the final time-step w…