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Han-Sheng Jiang

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#machine learning Preprint Oct 2026

Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures

The nonparametric maximum likelihood estimator (NPMLE) of a Gaussian location mixture maximizes the likelihood over the infinite-dimensional space of mixing distributions. The maximizing mixing distribution can be nonunique, and the classical bound on its number of atoms grows linearly with the sample size $n$. We show...

Han-Sheng Jiang · 0 citations
#machine learning Preprint Sep 2026

Conformal Robustness in Prediction-Driven Decision-Making

Modern prediction-driven decision systems often rely on black-box predictors, but a point forecast alone does not provide the uncertainty scale required for robust downstream decision-making. We build a score-calibrated robustness framework that converts any fixed point predictor into a decision-relevant uncertainty re...

Ling-Jie Zhao, Han-Sheng Jiang, Wei Qi · 1 citation

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