4 citations · 7 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms
Zheyi Fan, Szu Hui Ng, Qingpei Hu
We present an effective framework for improving the breakdown point of robust regression algorithms. Robust regression has attracted widespread attention due to the ubiquity of out…
A model aggregation approach for high-dimensional large-scale optimization
Haowei Wang, Ercong Zhang, Szu Hui Ng +1
Bayesian optimization (BO) has been widely used in machine learning and simulation optimization. With the increase in computational resources and storage capacities in these fields…
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Shouri Hu, Haowei Wang, Zhongxiang Dai +2
The expected improvement (EI) is one of the most popular acquisition functions for Bayesian optimization (BO) and has demonstrated good empirical performances in many applications…