We study transfer learning for estimation in latent variable network models.

A neural network (cf. Figure 1) can be thought of as a directed acyclic network consisting of

The authors contributed equally to this work 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Developing upper bounds on the generalisation gap, i.e., generalisation bounds has been a longstanding topic in statistical learning.

When such components are expected to be embedded in safety-critical systems (e.g.,