Author

Yu-Hong Yang

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Preprint Sep 2026

SPARK: A General Goodness-of-Fit Assessment via Residual Projection

Goodness-of-fit testing is a basic tool for assessing whether a fitted procedure has captured the systematic information contained in the covariates. While traditional theory has largely focused on parametric regression models, modern data analysis increasingly relies on flexible black-box learners, whose predictive su...

Xing-Wei Liu, Yu-Hong Yang, Wang-Li Xu · 0 citations

#machine learning Preprint Sep 2026

Towards a Statistical Understanding of Mixture-of-Experts

This paper derives oracle risk bounds for learning dense and sparse routing with evolving experts, separating approximation, expert-learning, and router-estimation errors, and characterize how sparse Top-K routing can retain the benefits of localized aggregation while controlling per-input computation.

Si-Yuan He, Bo-Kai Yang, Jie Hu et al. · 0 citations