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Publication date Communities Collections Article title Author(s) Journal/Conference
11 May 2024 SERC Institute for Infocomm Research A Unified Framework for Bayesian Optimization under Contextual Uncertainty Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low International Conference on Learning Representations
10 Dec 2023 SERC Institute for Infocomm Research Bayesian Optimization with Cost-varying Variable Subsets Sebastian Shenghong Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Chiu Xian Leong, Bryan Kian Hsiang Low Conference on Neural Information Processing Systems
20 Aug 2023 SERC Institute for Infocomm Research No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low Proceedings of the 26th International Conference on Artificial Intelligence and Statistics
23 Jul 2022 SERC Institute for Infocomm Research Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low International Conference on Machine Learning
22 Feb 2022 SERC Institute for Infocomm Research Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low 36th AAAI Conference on Artificial Intelligence