60 citations · 134 across the 15 of their papers we have counts for
4 papers · 1 filter
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
Jie Wu, Bo Zhang, Daoji Li +1
Heterogeneous data are now ubiquitous in many applications in which correctly identifying the subgroups from a heterogeneous population is critical. Although there is an increasing…
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
Runlin Zhou, Letian Li, Zemin Zheng
We study personalized federated learning for multivariate responses where client models are heterogeneous yet share variable-level structure. Existing entry-wise penalties ignore c…
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Rui Zhao, Zihan Chen, Zemin Zheng
High-dimensional linear contextual bandit problems remain a significant challenge due to the curse of dimensionality. Existing methods typically consider either the model parameter…
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
Zemin Zheng, Xin Zhou, Jinchi Lv
Data reduction with uncertainty quantification plays a key role in various multi-task learning applications, where large numbers of responses and features are present. To this end,…