Joonho Kim

Transfer Learning in High-dimensional Ising Models

Joonho Kim, Seyoung Park

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…Read more