Leong, Richalynn

4 publications

ICLR 2024 A Unified Framework for Bayesian Optimization Under Contextual Uncertainty Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

NeurIPS 2023 Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet

NeurIPS 2023 Bayesian Optimization with Cost-Varying Variable Subsets Sebastian Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

ICML 2022 Efficient Distributionally Robust Bayesian Optimization with Worst-Case Sensitivity Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low