3 papers
stat.ML2025
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Canyi Chen, Nan Qiao, Liping Zhu
This paper addresses the problem of efficiently classifying high-dimensional data over decentralized networks. Penalized support vector machines (SVMs) are widely used for high-dim…
stat.CO2024
Distributed Estimation and Gap-Free Analysis of Canonical Correlations
Canyi Chen, Liping Zhu
Massive data analysis calls for distributed algorithms and theories. We design a multi-round distributed algorithm for canonical correlation analysis. We construct principal direct…
stat.ME2024
Statistical inference for high-dimensional convoluted rank regression
Leheng Cai, Xu Guo, Heng Lian +1
High-dimensional penalized rank regression is a powerful tool for modeling high-dimensional data due to its robustness and estimation efficiency. However, the non-smoothness of the…