math.OC · 2026-08-19 · No. 89

Optimization and Control, 2026-08-19.

1 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data

    Kai Yang, Masoud Asgharian, Celia M. T. Greenwood

    math.OC · cs.AI · math.ST · stat.CO · stat.ML

    This paper addresses the limitations of Gaussian distribution assumptions in statistical sparse learning, particularly in modeling correlated and heterogeneous data. Conventional Gaussian models often lack robustness towards outliers and underlying distribution assumptions. To overcome these limitations, we propose the use of the $q$Gaussian distribution, derived from Tsallis entropy maximization, as a robust alternative. This is notably...

    arxiv.org/abs/2608.17244 · PDF

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