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Si-Yuan He

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#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