Anchored variational inference replaces full integration over subject-specific random effects with evaluation at a representative anchor point, yielding scalable AVEM algorithms for mixed hidden Markov and state-space models.
Large-scale machine learning with stochastic gradient descent
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Anchored Variational Inference for Personalized Sequential Latent-State Models
Anchored variational inference replaces full integration over subject-specific random effects with evaluation at a representative anchor point, yielding scalable AVEM algorithms for mixed hidden Markov and state-space models.