Ouragan Team

Exact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models

This work presents the first deterministic algorithm that computes local RLCTs exactly for any two-dimensional model whose Kullback-Leibler distance is contact equivalent to a polynomial, derive a bound on its complexity, and demonstrate its effectiveness for a broad class of models, with applications including polynomial neural networks.