AI RESEARCH
Scalable Maximum Entropy Population Synthesis via Persistent Contrastive Divergence
arXiv CS.LG
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ArXi:2603.27312v1 Announce Type: new Maximum entropy (MaxEnt) modelling provides a principled framework for generating synthetic populations from aggregate census data, without access to individual-level microdata. The bottleneck of existing approaches is exact expectation computation, which requires summing over the full tuple space $\cX$ and becomes infeasible for than $K \approx 20$ categorical attributes.