1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
Yan Lin, Yihong Su, Yi Yang
In financial predictions, the performance of machine learning models is often assessed by Rank IC, which is the Spearman rank correlation between the model predictions and the real…
Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning
Lisong He, Yi Yang, Xiangyu Chang
As the right to be forgotten becomes legislated worldwide, machine unlearning mechanisms have emerged to efficiently update models for data deletion and enhance user privacy protec…
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
Hao Di, Yi Yang, Haishan Ye +1
Personalization aims to characterize individual preferences and is widely applied across many fields. However, conventional personalized methods operate in a centralized manner, po…
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Yi Yang, Ying Wu, Mei Li +2
Scoring systems, as a type of predictive model, have significant advantages in interpretability and transparency and facilitate quick decision-making. As such, scoring systems have…