Hierarchical Latent Structure Learning through Online Inference

ArXi:2603.19139v1 Announce Type: new Learning systems must balance generalization across experiences with discrimination of task-relevant details. Effective learning therefore requires representations that both. Online latent-cause models incremental inference but assume flat partitions, whereas hierarchical Bayesian models capture multilevel structure but typically require offline inference. We