Efficient Data Removal Under High-dimensional Asymptotics with Applications to Risk Estimation and Machine Unlearning
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The rapid expansion of machine learning (ML) and artificial intelligence (AI) has created an urgent need for tools that enhance trust, and control over these technologies. This project aims to address that need by developing methods that help explain why a model makes certain predictions, improve model tuning, and detect harmful or misleading…
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