5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2026
High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
Hongyan Wang, Jiayu Huang, Haotian Zheng +6
Multi-objective Bayesian optimization (MOBO) is effective in identifying the Pareto fronts for expensive black-box problems. However, most current MOBO approaches are limited to lo…
stat.ML2022★ 5 cited
Estimation and inference for transfer learning with high-dimensional quantile regression
Jiayu Huang, Mingqiu Wang, Yuanshan Wu
Transfer learning has become an essential technique to exploit information from the source domain to boost performance of the target task. Despite the prevalence in high-dimensiona…
cs.AI2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang, Yutian Pang, Yongming Liu +1
Neural Networks (NNs) have been widely {used in supervised learning} due to their ability to model complex nonlinear patterns, often presented in high-dimensional data such as imag…