Ordinary least squares is a special case of the single-layer linear transformer when attention parameters are set via spectral decomposition of the empirical covariance matrix.
Transformers learn in-context by gradient descent
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Ordinary Least Squares is a Special Case of Transformer
Ordinary least squares is a special case of the single-layer linear transformer when attention parameters are set via spectral decomposition of the empirical covariance matrix.