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Fast Parameter Estimation Using Green's Functions

Conference Paper Artificial Intelligence ยท Machine Learning

Abstract

We propose a method for the fast estimation of hyperparameters in large networks, based on the linear response relation in the cav(cid: 173) ity method, and an empirical measurement of the Green's func(cid: 173) tion. Simulation results show that it is efficient and precise, when compared with cross-validation and other techniques which require matrix inversion.

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Keywords

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Context

Venue
Annual Conference on Neural Information Processing Systems
Archive span
1987-2025
Indexed papers
30776
Paper id
636917494012700905
v2026.09.13