Bayesian Optimization with BASS
My MSc thesis: Bayesian Adaptive Spline Surfaces as a surrogate model for Bayesian optimization.
My master’s thesis explores Bayesian Adaptive Spline Surfaces (BASS) as a surrogate model for Bayesian optimization. The work investigates whether spline-based surrogates can serve as a flexible, well-calibrated alternative to Gaussian processes when navigating expensive, black-box objective functions.
The repository collects the thesis manuscript alongside the experiments and code used to evaluate the approach.
Check out the code on GitHub.