Rachael Hwee Ling Sim

According to our database, Rachael Hwee Ling Sim authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning.

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Incentives in Private Collaborative Machine Learning.

Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, 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

Probably Approximate Shapley Fairness with Applications in Machine Learning.

Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges.

Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Collaborative Bayesian Optimization with Fair Regret.

Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Collaborative Machine Learning with Incentive-Aware Model Rewards.

Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low

Proceedings of the 37th International Conference on Machine Learning, 2020