| Incentivizing collaboration in machine learning via synthetic data rewards SS Tay, X Xu, CS Foo, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9448-9456, 2022 | 44 | 2022 |
| Top-k Ranking Bayesian Optimization QP Nguyen, S Tay, BKH Low, P Jaillet Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9135-9143, 2021 | 20 | 2021 |
| Efficient distributionally robust Bayesian optimization with worst-case sensitivity SS Tay, CS Foo, U Daisuke, R Leong, BKH Low International Conference on Machine Learning, 21180-21204, 2022 | 17 | 2022 |
| Bayesian Optimization with Cost-varying Variable Subsets S Tay, CS Foo, D Urano, R Leong, BKH Low Advances in Neural Information Processing Systems 36, 3008-3031, 2023 | 3 | 2023 |
| Batch Bayesian Optimization for Replicable Experimental Design Z Dai, QP Nguyen, S Tay, D Urano, R Leong, BKH Low, P Jaillet Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities SS Tay, QP Nguyen, CS Foo, BKH Low International Conference on Artificial Intelligence and Statistics, 3591-3619, 2023 | 2 | 2023 |
| Incentives in federated learning RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ... Federated Learning, 299-309, 2024 | | 2024 |
| A Unified Framework for Bayesian Optimization under Contextual Uncertainty SS Tay, CS Foo, D Urano, R Leong, BKH Low The Twelfth International Conference on Learning Representations, 0 | | |
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
