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The Geometry of Statistical Feature Learning in Mean-Field Langevin Dynamics
We introduce a geometric formulation of statistical feature learning for supervised regression. Feature learning is defined through a base--fiber decomposition: the base is the feature-side geometry produced by training, and the fiber is the learned feature space where estimation is performed. We pr
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