Richalynn Leong

According to our database, Richalynn Leong authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Unified Framework for Bayesian Optimization under Contextual Uncertainty.

Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bayesian Optimization with Cost-varying Variable Subsets.

Sebastian Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity.

Sebastian Shenghong Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

Proceedings of the International Conference on Machine Learning, 2022