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stat.ME2026
Minimax and Adaptive Transfer Learning for Sparse Canonical Correlation Analysis
Bo Fu, Dandan Jiang
We develop a transfer learning framework for high-dimensional sparse canonical correlation analysis (CCA) with multiple heterogeneous source datasets. Our goal is to improve estima…
stat.ME2026
Invariant quantile regression for heterogeneous environments
Bo Fu, Dandan Jiang
In this paper, we propose an invariant quantile regression (IQR) framework specifically designed for multi-environment datasets, which captures the invariance across different envi…