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cs.LG2025
Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
Yutian He, Yankun Huang, Yao Yao +1
Fairness in machine learning has become a critical concern. Existing approaches often focus on achieving full fairness across all score ranges generated by predictive models, ensur…
cs.LG2024
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety
Gang Li, Wendi Yu, Yao Yao +4
In real-world applications, learning-enabled systems often undergo iterative model development to address challenging or emerging tasks, which involve collecting new data, training…