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cs.LG2024
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber, Francis Bach
In this work, we propose a mean-squared error-based risk that enables the comparison and optimization of estimators of squared calibration errors in practical settings. Improving t…
stat.ML2024
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
Bertille Follain, Francis Bach
We propose a new method for feature learning and function estimation in supervised learning via regularised empirical risk minimisation. Our approach considers functions as expecta…