Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models

Evan Sidrow, Nancy Heckman, Alexandre Bouchard-Côté +3

Hidden Markov models (HMMs) are popular models to identify a finite number of latent states from sequential data. However, fitting them to large data sets can be computationally de…