Search Results for author: Kevin Winner

Found 5 papers, 0 papers with code

Learning in Integer Latent Variable Models with Nested Automatic Differentiation

no code implementations ICML 2018 Daniel Sheldon, Kevin Winner, Debora Sujono

We develop nested automatic differentiation (AD) algorithms for exact inference and learning in integer latent variable models.

Exact Inference for Integer Latent-Variable Models

no code implementations ICML 2017 Kevin Winner, Debora Sujono, Dan Sheldon

This substantially generalizes the class of models for which efficient, exact inference algorithms are available.

Probabilistic Inference with Generating Functions for Poisson Latent Variable Models

no code implementations NeurIPS 2016 Kevin Winner, Daniel R. Sheldon

We present the first exact inference algorithms for a class of models with latent count variables by developing a novel representation of countably infinite factors as probability generating functions, and then performing variable elimination with generating functions.

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