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Learn about prediction-powered inference in this 44-minute talk by Anastasios Angelopoulos at the Simons Institute's Theoretical Aspects of Trustworthy AI series. Explore innovative statistical methods that leverage machine learning predictions to enhance traditional inference techniques, addressing challenges in uncertainty quantification and reliable decision-making in AI systems.
