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

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 (NeurIPS, 2023)

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

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model. - Ji-Yan Wu; Zheng Yong Poh; Anoop C. Patil; Bongsoo Park; Giovanni Volpe; Daisuke Urano (CoRR, 2025)