AI RESEARCH
SEDGE: Structural Extrapolated Data Generation
arXiv CS.LG
•
ArXi:2604.02482v1 Announce Type: new This paper proposes a framework for Structural Extrapolated Data GEneration (SEDGE) based on suitable assumptions on the underlying data generating process. We provide conditions under which data satisfying new specifications can be generated reliably, together with the approximate identifiability of the distribution of such data under certain ``conservative" assumptions.