parameter-symmetry

This paper proposes performing PAC-Bayesian analysis on quotient parameter spaces to remove KL contributions from parameter symmetries, and constructs a geometry-induced prior that approximates the ideal posterior-matched prior, resulting in tighter generalization bounds. Experiments on Fourier regression and Query-Key attention show significant reductions in KL divergence and certificate values.