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#machine learning Preprint Aug 2026

Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

This work refine the learning-theoretic upper bound using real algebraic geometry and presents a multi-regime lower-bound framework that disentangles combinatorial and algebraic capacities and extends the topological framework to accommodate general bi-level validation-loss tuning and broader semi-algebraic applications.

A. Nguyen, Viet Anh Nguyen · 0 citations