Sketching for Latent Dirichlet-Categorical Models

    international conference on artificial intelligence and statistics, 2018.

    Cited by: 0|Bibtex|Views3|Links
    EI

    Abstract:

    Recent work has explored transforming data sets into smaller, approximate summaries in order to scale Bayesian inference. We examine a related problem in which the parameters of a Bayesian model are very large and expensive to store in memory, and propose more compact representations of parameter values that can be used during inference....More

    Code:

    Data:

    Your rating :
    0

     

    Tags
    Comments