Mehmet Kerem Turkcan

Adaptive Data Collection for Robust Learning Across Multiple Distributions

We propose a framework for adaptive data collection aimed at robust learning in multi-distribution scenarios under a fixed data collection budget. In each round, the algorithm selects a distribution source to sample from for data collection and updates the model parameters accordingly. The objective…