Rachael Hwee Ling Sim

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Collaborative Environment

Axiomatic Characterization

Geographically Dispersed

Top Venues

Publications

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. AAAI (2024)
Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low
Data-Centric AI in the Age of Large Language Models. CoRR (2024)
Rachael Hwee Ling Sim, Yehong Zhang, Trong Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
Incentives in Private Collaborative Machine Learning. CoRR (2024)
Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. CoRR (2023)
Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
Incentives in Private Collaborative Machine Learning. NeurIPS (2023)
Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low
Probably Approximate Shapley Fairness with Applications in Machine Learning. AAAI (2023)
Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low
Probably Approximate Shapley Fairness with Applications in Machine Learning. CoRR (2022)
Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. IJCAI (2022)
Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet
Collaborative Bayesian Optimization with Fair Regret. ICML (2021)
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
Collaborative Machine Learning with Incentive-Aware Model Rewards. CoRR (2020)
Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
Collaborative Machine Learning with Incentive-Aware Model Rewards. ICML (2020)