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mean squared error

technology10 mentionslast seen Oct 26, 2026

A symmetric error metric used in conventional forecasting approaches that the proposed method aims to improve upon.

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machine learning interatomic potentialdepends onmean squared error94% confidence1 source
bitwise neural polar decodingdepends onmean squared error85% confidence1 source
variance minimizationsupersedesmean squared error85% confidence1 source
quadratic-form weighted learning objectivesupersedesmean squared error75% confidence1 source

mean squared error

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variance minimizationsupersedesmean squared error

85% confidence1 supporting mentions

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preprintarXivSep 22, 2026Fine-Tune, Then Rectify
the conventional fine-tuning objective of minimizing mean squared prediction error is generally not aligned with the downstream rectification stage. For mean estimation, we propose to minimize the variance of the prediction errors