Sebastian Shenghong Tay

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Efficient Optimization

Bayesian Networks

Experimental Designs

Top Venues

Publications

Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low
A Unified Framework for Bayesian Optimization under Contextual Uncertainty. ICLR (2024)
Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet
Batch Bayesian Optimization for Replicable Experimental Design. CoRR (2023)
Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities. AISTATS (2023)
Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity. ICML (2022)
Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. AAAI (2022)
Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. CoRR (2021)