2 papers
math.ST2026
A Concentration Inequality for the Covariance Matrix of an Arbitrary Subset of Random Vectors
Huikang Liu, Peng Wang, Laura Balzano
Concentration inequalities for sample covariance matrices are fundamental tools in high-dimensional probability. Classical results typically assume that the selected random vectors…
cs.LG2025
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang, Huikang Liu, Druv Pai +4
The maximal coding rate reduction (MCR) objective for learning structured and compact deep representations is drawing increasing attention, especially after its recent usage in…