3 papers
stat.ML2026
Local Constrained Bayesian Optimization
Jing Jingzhe, Fan Zheyi, Szu Hui Ng +1
Bayesian optimization (BO) for high-dimensional constrained problems remains a significant challenge due to the curse of dimensionality. We propose Local Constrained Bayesian Optim…
cs.LG2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization
Zheyi Fan, Wenyu Wang, Szu Hui Ng +1
Local Bayesian optimization is a promising practical approach to solve the high dimensional black-box function optimization problem. Among them is the approximated gradient class o…
cs.LG2024
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
Wenyu Wang, Zheyi Fan, Szu Hui Ng
Training machine learning models inherently involves a resource-intensive and noisy iterative learning procedure that allows epoch-wise monitoring of the model performance. However…