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stat.ML2019
Continual Learning for Infinite Hierarchical Change-Point Detection
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-point detection (CPD) aims to locate abrupt transitions in the generative model of a sequence of observations. When Bayesian methods are considered, the standard practice is…
stat.ML2018
Change-Point Detection on Hierarchical Circadian Models
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
This paper addresses the problem of change-point detection on sequences of high-dimensional and heterogeneous observations, which also possess a periodic temporal structure. Due to…