COLT Workshop on Predictions and Uncertainty was a banger!

I was lucky to present our paper "Minimum Volume Conformal Sets for Multivariate Regression", alongside my colleague @eberta.bsky.social and his awsome work on calibration.

Big thanks to the organizers!

#ConformalPrediction #MarcoPolo

Finally, clear proof and explanation of why overfitting a dataset leads to better accuracy: the refinement keeps improving—it’s just the calibration error that increases! Inspiring and a great breakthrough!

Early stopping on validation loss? This leads to suboptimal calibration and refinement errors—but you can do better!
With @dholzmueller.bsky.social, Michael I. Jordan, and @bachfrancis.bsky.social, we propose a method that integrates with any model and boosts classification performance across tasks.