algorithmic stability
PulseAugur coverage of algorithmic stability — every cluster mentioning algorithmic stability across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Feature bagging enhances algorithmic stability, study finds
Researchers have analyzed feature bagging, an ensemble method that trains base learners on randomly subsampled feature subsets, focusing on its impact on algorithmic stability. They introduced "feature instability" (FI)…
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Convex learning requires affine aggregation for stable convergence, study finds
A new research paper published on arXiv explores the relationship between convex learning and non-affine aggregation methods. The study proves that maintaining monotonicity in gradient updates, crucial for convergence a…
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New method analyzes generalization in nonlinear least-squares models
Researchers have developed a new method to understand how nonlinear least-squares models generalize. Their approach uses on-average algorithmic stability to derive error bounds for local minimizers. These bounds are lin…