Sacho
@potosacho.bsky.social
PhD student in machine learning with Francis Bach &
Michael I. Jordan: uncertainty quantification, learning theory.
https://elsacho.github.io
Michael I. Jordan: uncertainty quantification, learning theory.
https://elsacho.github.io
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
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
July 9, 2025 at 4:58 PM
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
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
Reposted by Sacho
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.
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.
February 3, 2025 at 1:03 PM
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.
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.