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Eugene Berta

@eberta.bsky.social

PhD student at INRIA Paris. Working on calibration of machine learning classifiers.

Eugene Berta @eberta.bsky.social · 13/11/2025

Still using temperature scaling? With @dholzmueller.bsky.social, Michael I. Jordan and @bachfrancis.bsky.social we argue that with well designed regularization, more expressive models like matrix scaling can outperform simpler ones across calibration set sizes, data dimensions, and applications.

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Reposted by Eugene Berta

Sacho @potosacho.bsky.social · 09/07/2025

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

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Reposted by Eugene Berta

Leshem (Legend) Choshen @EMNLP @lchoshen.bsky.social · 08/04/2025

What if we have been doing early stopping wrong all along? When you break the validation loss into two terms, calibration and refinement you can make the simplest (efficient) trick to stop training in a smarter position

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Eugene Berta @eberta.bsky.social · 03/02/2025

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.

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