Deep State-Space Generative Model For Correlated Time-to-Event Predictions.

Yuan Xue Denny Zhou Nan Du Andrew M. Dai Zhen Xu Kun Zhang Claire Cui

Published in: KDD (2020)

Keyphrases

generative model
state space
learned models
probabilistic model
bayesian framework
event detection
reinforcement learning
prior knowledge

em algorithm
discriminative learning
posterior probability
state variables
markov decision processes
dynamic programming
generative and discriminative models
optimal policy

reward function
discriminative models
conditional random fields
computer vision
particle filter
latent dirichlet allocation
markov chain monte carlo
text documents

learning tasks
semi supervised
probability distribution
fisher kernel
hierarchical bayesian model
fully bayesian
learning algorithm