Shilin Gu

Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret

Label shift, which investigates the adaptation of label distributions between the fixed source and target domains, has attracted significant research interests and broad applications in offline settings. In real-world scenarios, however, data often arrives as a continuous stream. Addressing label sh…