Group Talks
Archived Talks
Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
Talk
- 14 July 2022 • 11:00—12:00
- Anastasios Angelopoulos
- MPI-IS Tübingen, N0.002
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).
Organizers: Michael Muehlebach