The factor-augmented sparse-group LASSO estimator for mixed-frequency panel data achieves oracle convergence rates that exploit sparse-group structure and accommodate cross-sectional dependence via latent factors.
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The work establishes margin-verified certificates for physical alignment of residual Jacobian chains by bounding truncation errors and decomposing the Physical Alignment Matrix orthogonally under fitted effective-rank windows.
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Factor-Augmented Machine Learning Panel Regressions
The factor-augmented sparse-group LASSO estimator for mixed-frequency panel data achieves oracle convergence rates that exploit sparse-group structure and accommodate cross-sectional dependence via latent factors.
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Geometric and Spectral Alignment for Deep Neural Network II
The work establishes margin-verified certificates for physical alignment of residual Jacobian chains by bounding truncation errors and decomposing the Physical Alignment Matrix orthogonally under fitted effective-rank windows.