AI RESEARCH

Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond

arXiv CS.LG

ArXi:2604.08438v2 Announce Type: replace The Shapley value, and its broader family of semi-values, has received much attention in various attribution problems. A fundamental and long-standing challenge is their efficient approximation, since exact computation generally requires an exponential number of utility queries in the number of players $n$. To meet the challenges of large-scale applications, we explore the limits of efficiently approximating semi-values under a $\Theta(n)$ space constraint.