Adaptive Algorithm for Handling Drastic Shifts in Input Distribution

An adaptive algorithm named Xenovert can dynamically partition a continuous input space into multiple uniform intervals, effectively mapping a source distribution to a shifted target distribution. This enables downstream machine learning models to adapt to drastic distribution shifts without retraining.