Joshua Hang Sai Ip

Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks

2025 · arXiv (Cornell University)

Bayesian optimization (BO) is a widely used method for data-driven optimization that generally relies on zeroth-order data of objective function to construct probabilistic surrogate models. These surrogates guide the exploration-exploitation process toward finding global optimum. …