A Multi-Channel Neural Graphical Event Model with Negative Evidence

21 Feb 2020Tian GaoDharmashankar SubramanianKarthikeyan ShanmugamDebarun BhattacharjyaNicholas Mattei

Event datasets are sequences of events of various types occurring irregularly over the time-line, and they are increasingly prevalent in numerous domains. Existing work for modeling events using conditional intensities rely on either using some underlying parametric form to capture historical dependencies, or on non-parametric models that focus primarily on tasks such as prediction... (read more)

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