2026
RED-HDP-HMM: Observation-Dependent Durations for Bayesian Nonparametric Sequential Models
ICML 2026spotlight
The Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) is a Bayesian nonparametric extension of the classical Hidden Markov Model, well-suited for learning from (spatio-)temporal data. To relax the restrictive geometric assumption on state durations, the HDP Hidden Semi-Markov Model was in…