Sim, Rachael Hwee Ling

7 publications

NeurIPS 2025 Incentivizing Time-Aware Fairness in Data Sharing Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Arun Verma, Zhaoxuan Wu, Chuan-Sheng Foo, Bryan Kian Hsiang Low

AAAI 2024 DeRDaVa: Deletion-Robust Data Valuation for Machine Learning Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low

ICML 2024 Deletion-Anticipative Data Selection with a Limited Budget Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low

AAAI 2023 Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low

IJCAI 2022 Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low

ICML 2021 Collaborative Bayesian Optimization with Fair Regret Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet

ICML 2020 Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low