| Learning regions of interest for Bayesian optimization with adaptive level-set estimation F Zhang, J Song, JC Bowden, A Ladd, Y Yue, T Desautels, Y Chen International Conference on Machine Learning, 41579-41595, 2023 | 5 | 2023 |
| Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints F Zhang, Z Zhu, Y Chen arXiv preprint arXiv:2310.08751, 2023 | 1 | 2023 |
| Learning representation for bayesian optimization with collision-free regularization F Zhang, B Nord, Y Chen arXiv preprint arXiv:2203.08656, 2022 | 1 | 2022 |
| Design of physical experiments via collision-free latent space optimization F Zhang, Y Altas, L Fan, K Vinchure, B Nord, Y Chen NeurIPSW, 2020 | 1 | 2020 |
| No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes M Han, F Zhang, Y Chen arXiv preprint arXiv:2405.08318, 2024 | | 2024 |
| Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization F Zhang, Z Zhu, Y Chen NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
| Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition F Zhang, T Desautels, Y Chen NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
| Constrained Multi-objective Bayesian Optimization D Li, F Zhang, C Liu, Y Chen NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
