AI RESEARCH
Online Learning-to-Defer with Varying Experts
arXiv CS.LG
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ArXi:2605.12340v1 Announce Type: cross Learning-to-Defer (L2D) methods route each query either to a predictive model or to external experts. While existing work studies this problem in batch settings, real-world deployments require handling streaming data, changing expert availability, and shifting expert distribution. We