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stat.ML2026
Bias-Corrected Data Synthesis for Imbalanced Learning
Pengfei Lyu, Zhengchi Ma, Linjun Zhang +1
Imbalanced data, where the positive samples represent only a small proportion compared to the negative samples, makes it challenging for classification problems to balance the fals…
stat.ML2026
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
Zhixian Zhang, Xiaotian Hou, Linjun Zhang
Performative prediction characterizes environments where predictive models alter the very data distributions they aim to forecast, triggering complex feedback loops. While prior re…
stat.ML2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang, Aaron Roth, Linjun Zhang
This paper introduces a framework for post-processing machine learning models so that their predictions satisfy multi-group fairness guarantees. Based on the celebrated notion of m…