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Author

Jong-Shi Pang

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Preprint Sep 2026

A New Perspective on Clustering: A Mixed-norm Model and its Solution by Progressive Integer Programming

This paper introduces an $\ell_{p,q}$ mixed-norm clustering model where the centroid updates and cluster assignments are under the $\ell_p$ and $\ell_q$ norms, respectively, and develops a progressive integer programming method that adaptively fixes confident assignments and solves restricted mixed-integer subproblems.

Jun-Yi Liu, Yu-Lin Peng, Yao Xie et al. · 0 citations
Jul 2026

Online Optimization of Difference-of-Convex Compositions with Smooth Mappings

This work proposes a time-smoothed proximal linear algorithm and a local-regret measure based on a proximal residual mapping that is a proper stationarity measure for the original problem: its fixed-point condition implies first-order stationarity.

Jingwei Ji, Jong-Shi Pang, Renyuan Xu · 0 citations

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