2 papers
stat.ML2024
Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
Jingyang Li, Jian-Feng Cai, Yang Chen +1
Large tensor learning algorithms are typically computationally expensive and require storing a vast amount of data. In this paper, we propose a unified online Riemannian gradient d…
stat.ML2024
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai, Dong Xia, Luwan Zhang +1
Network analysis has been a powerful tool to unveil relationships and interactions among a large number of objects. Yet its effectiveness in accurately identifying important node-n…