2 papers
cs.LG2026
The Kernel Manifold: A Geometric Approach to Gaussian Process Model Selection
Md Shafiqul Islam, Shakti Prasad Padhy, Douglas Allaire +1
Gaussian Process (GP) regression is a powerful nonparametric Bayesian framework, but its performance depends critically on the choice of covariance kernel. Selecting an appropriate…
cs.LG2026
Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions
Sk Md Ahnaf Akif Alvi, Raymundo Arróyave, Douglas Allaire
Bayesian Optimization with multi-objective acquisition functions such as q-Expected Hypervolume Improvement (qEHVI) requires efficient candidate optimization to maximize acquisitio…