A Sparse and Adaptive Prior for Time-Dependent Model Parameters

Dani Yogatama, Bryan R. Routledge, Noah A. Smith

We consider the scenario where the parameters of a probabilistic model are expected to vary over time. We construct a novel prior distribution that promotes sparsity and adapts the…