arxivcs.LGstat.MEstat.ML2026-07-03
Transfer Learning in High-dimensional Ising Models
In high-dimensional Ising model estimation, target sample sizes are often limited, and effectively using auxiliary binary datasets of unknown relevance remains challenging. To address this, we propose Trans-Ising, a transfer learning method that combines a loss-based source scree…