Benign overfitting in linear regression
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Benign overfitting in ML fails to predict equity returns, study finds
A new paper on arXiv explores the phenomenon of "benign overfitting" in the context of equity return prediction. The research indicates that while highly overparameterized machine learning models can interpolate trainin…
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New research explores benign overfitting in linear classifiers with bias terms
Researchers Yuta Kondo and Hashimoto et al. have extended the analysis of benign overfitting in linear regression models. Their work now includes classifiers with a bias term, a feature previously excluded in similar st…
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Diffusion models defy benign overfitting, new research finds · 2 sources tracked
A new research paper challenges the prevailing understanding of generalization in deep learning, specifically within diffusion models. The study demonstrates that benign overfitting, a phenomenon where overfitting aids …
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New research explores benign overfitting in overparameterized models
A new research paper explores the phenomenon of benign overfitting in overparameterized statistical models, focusing on the ordinary least squares (OLS) interpolator. The study derives new algebraic and statistical resu…
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Spectral algorithms in large dimensions reveal three learning curve regimes
A new research paper published on arXiv explores the learning curves and benign overfitting phenomena in spectral algorithms within large-dimensional settings. The study characterizes the excess risk across different re…