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stat.ML2026
Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening
Jie Tang, Chuanlong Xie, Lixing Zhu
As artificial intelligence is increasingly deployed, algorithmic unfairness has raised growing concerns and intensified demands for transparent fairness auditing. In practice, the…
cs.LG2026
A Unified Framework for In-Context Learning with Causal and Masked Language Models
Chenrui Liu, Chuanlong Xie, Falong Tan +2
In-context learning (ICL) has emerged as a central capability of pretrained language models, yet its theoretical analysis has focused primarily on causal language models trained by…
stat.ML2026
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
Jie Tang, Chuanlong Xie, Xianli Zeng +1
Machine learning models in high-stakes applications, such as recidivism prediction and automated personnel selection, often exhibit systematic performance disparities across sensit…