2 papers
math.OC2026
A Retraction-Free EXTRA Method for Decentralized Optimization on the Stiefel Manifold
Shu Li, Jiang Hu
Decentralized optimization provides a fundamental framework for large-scale learning and signal processing with distributed data. We study decentralized optimization with orthogona…
cs.LG2023
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang, Shenghao Yang, Shu Li +2
Set representation has become ubiquitous in deep learning for modeling the inductive bias of neural networks that are insensitive to the input order. DeepSets is the most widely us…