Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations

arXiv:2404.05168v1 Announce Type: new
Abstract: Input distribution shift presents a significant problem in many real-world systems. Here we present Xenovert, an adaptive algorithm that can dynamically adapt to changes in input distribution. It is a perfect binary tree that adaptively divides a continuous input space into several intervals of uniform density while receiving a continuous stream of input. This process indirectly maps the source distribution to the shifted target distribution, preserving the data's relationship with the downstream decoder/operation, even after …

abstract adapt algorithm arxiv binary continuous cs.lg distribution encoding real-time shift space systems tree trees type world