Tag: novel
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Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition
Efficient Penalty-Based Bilevel Methods: Improved Analysis, Novel Updates, and Flatness Condition arXiv:2511.16796v1 Announce Type: cross Abstract: Penalty-based methods have become popular for solving bilevel optimization (BLO) problems, thanks to their effective first-order nature. However, they often require inner-loop iterations to solve the lower-level (LL) problem and small outer-loop step sizes to handle the increased smoothness…
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A novel Information-Driven Strategy for Optimal Regression Assessment
A novel Information-Driven Strategy for Optimal Regression Assessment arXiv:2510.14222v1 Announce Type: new Abstract: In Machine Learning (ML), a regression algorithm aims to minimize a loss function based on data. An assessment method in this context seeks to quantify the discrepancy between the optimal response for an input-output system and the estimate produced by a learned…