Under gradient and log-probability insensitivity assumptions, SGLD-based local learning coefficient estimates cannot distinguish a sequence distribution from its mode-truncated effective version.
Information Geometry and Its Applications: Convex Function and Dually Flat Manifold, pp.\ 75--102
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Modes of Sequence Models and Learning Coefficients
Under gradient and log-probability insensitivity assumptions, SGLD-based local learning coefficient estimates cannot distinguish a sequence distribution from its mode-truncated effective version.