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Kernel-based guarantees for nonlinear parametric models in Bayesian optimization
A kernel framework over parameter spaces delivers confidence bounds and convergence guarantees for regularized nonlinear parametric models used in Bayesian optimization.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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