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stat.ML2025
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi, Pankaj Bhagwat, Zhixian Yang +2
Machine learning models have achieved widespread success but often inherit and amplify historical biases, resulting in unfair outcomes. Traditional fairness methods typically impos…
stat.ML2025
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
Enze Shi, Linglong Kong, Bei Jiang
Ensuring fairness in machine learning is a critical and challenging task, as biased data representations often lead to unfair predictions. To address this, we propose Deep Fair Lea…