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Author

Da-Li Liu

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Preprint Sep 2026

Robust Multi-Task Learning for Principal Component Analysis

New multi-task PCA procedures are proposed that exploit similarity structure across tasks to improve eigenspace estimation while remaining robust to outlier tasks, addressing a key challenge in robust multi-task learning.

Da-Li Liu, Hao-Lei Weng · 0 citations

Transfer Learning for Matrix Completion

The analysis reveals that with the source matrices close enough to the target matrix, out method outperforms the traditional method using the single target data and proves the minimax optimality.

Da-Li Liu, Hao-Lei Weng · 0 citations

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