3 papers
stat.ME2025
Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus
ZeYu Li, Xinsheng Zhang, Wang Zhou
Distributed algorithms and theories are called for in this era of big data. Under weaker local signal-to-noise ratios, we improve upon the celebrated one-round distributed principa…
stat.ML2024
Representational Transfer Learning for Matrix Completion
Yong He, Zeyu Li, Dong Liu +2
We propose to transfer representational knowledge from multiple sources to a target noisy matrix completion task by aggregating singular subspaces information. Under our representa…
stat.ME2024
Simultaneous Estimation and Dataset Selection for Transfer Learning in High Dimensions by a Non-convex Penalty
Zeyu Li, Dong Liu, Yong He +1
In this paper, we propose to estimate model parameters and identify informative source datasets simultaneously for high-dimensional transfer learning problems with the aid of a non…