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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Chang Lu

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Book Open access Aug 2026

The Price of Fairness in Active Learning: Fundamental Limits and Optimal Label Acquisition

This work gives matching algorithms (ConstrainedERM-DP for DP, FairStratified for EO and EqOdds) that are tight up to logarithmic factors and gives matching algorithms that are tight up to logarithmic factors for fairness verification.

Chang Lu, Yi-Zheng Zhao · 0 citations
Book Open access Aug 2026

When Logic Meets Perception: Operator-Agnostic Differentiable Reasoning for Reliable Neural Prediction

The framework is operator-agnostic - it decouples logical structure from the choice of underlying continuous semantics, revealing, through the first controlled comparison of its kind, that this choice alone can swing performance by over 30 points on the same task.

Zi-Han Shao, Chang Lu, Renate A. Schmidt et al. · 0 citations
Book Open access Aug 2026

The Price of Fairness in Active Learning: Fundamental Limits and Optimal Label Acquisition

When a classifier is trained by actively choosing which examples to label, should its labeling budget depend on which notion of fairness it must satisfy? We answer this with the first information-theoretic lower bounds for group-fair active learning, and the answer is a sharp hierarchy across the three standard notions...

Chang Lu, Yizheng Zhao · 0 citations

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