Learning and Dynamical Systems Talk Anastasios Angelopoulos 14-07-2022 Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks As we begin deploying machine learning models in consequential settings like medical diagnostics or self-driving vehicles, we need ways of knowing when the model may make a consequential error (for example, that the car doesn't hit a human). Michael Muehlebach

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