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cs.LG2026
Local Preferential Bayesian Optimization
Johanna Menn, Miriam Kober, Paul Brunzema +2
Bayesian optimization (BO) is a popular and effective approach for tuning expensive, noisy experiments, but requires the formulation of an explicit objective function. Preferential…
cs.LG2025
Local Entropy Search over Descent Sequences for Bayesian Optimization
David Stenger, Armin Lindicke, Alexander von Rohr +1
Searching large and complex design spaces for a global optimum can be infeasible and unnecessary. A practical alternative is to iteratively refine the neighborhood of an initial de…