Author

Andrew Cheng

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#machine learning Preprint Oct 2026

Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines

Recursive feature machines (RFMs) learn representations of data by alternating between fitting a predictor to a dataset and updating features of that predictor using the average gradient outer product (AGOP). Connections between AGOPs and feature learning in neural networks motivate linear RFMs as a simple setting for...

Andrew Cheng, B. Kiani, Yue M. Lu et al. · 0 citations