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Rachael Sim Hwee Ling
Rachael Sim Hwee Ling
Ph.D. candidate, Department of Computer Science, National University of Singapore
Verified email at u.nus.edu
Title
Cited by
Cited by
Year
Collaborative machine learning with incentive-aware model rewards
RHL Sim, Y Zhang, MC Chan, BKH Low
International conference on machine learning, 8927-8936, 2020
1122020
Data Valuation in Machine Learning:" Ingredients", Strategies, and Open Challenges.
RHL Sim, X Xu, BKH Low
IJCAI, 5607-5614, 2022
322022
Collaborative Bayesian optimization with fair regret
RHL Sim, Y Zhang, BKH Low, P Jaillet
International Conference on Machine Learning, 9691-9701, 2021
262021
Probably approximate Shapley fairness with applications in machine learning
Z Zhou, X Xu, RHL Sim, CS Foo, BKH Low
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5910-5918, 2023
72023
Incentives in private collaborative machine learning
R Sim, Y Zhang, N Hoang, X Xu, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 36, 2024
12024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
X Tian, RHL Sim, J Fan, BKH Low
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15373 …, 2024
2024
Data valuation in federated learning
Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ...
Federated Learning, 281-296, 2024
2024
Incentives in federated learning
RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ...
Federated Learning, 299-309, 2024
2024
Fairness in federated learning
X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ...
Federated Learning, 143-160, 2024
2024
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