3 papers
stat.ML2026
Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
Ruijian Han, Ding Lu, Yiming Xu
Zermelo's algorithm is a classical method for computing the maximum likelihood estimator in the Bradley--Terry (BT) model, but its convergence can be slow in practice. To accelerat…
math.NA2026
An NPDo Approach for Principal Joint Block Diagonalization
Ren-Cang Li, Ding Lu, Li Wang +1
Matrix joint block-diagonalization (JBD) frequently arises from diverse applications such as independent component analysis, blind source separation, and common principal component…
cs.LG2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Junhui Shen, Aaron J. Davis, Ding Lu +1
Principal Component Analysis (PCA) is a foundational technique in machine learning for dimensionality reduction of high-dimensional datasets. However, PCA could lead to biased outc…