Matthew J. Johnson

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Google ∙ MIT ∙ Harvard University

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Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language

Deriving conditional and marginal distributions using conjugacy relation...
11/29/2018 ∙ by Matthew D. Hoffman, et al. ∙ 6 ∙ share

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The LORACs prior for VAEs: Letting the Trees Speak for the Data

In variational autoencoders, the prior on the latent codes z is often tr...
10/16/2018 ∙ by Sharad Vikram, et al. ∙ 0 ∙ share

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SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning

Model-based reinforcement learning (RL) methods can be broadly categoriz...
08/28/2018 ∙ by Marvin Zhang, et al. ∙ 0 ∙ share

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Estimating the Spectral Density of Large Implicit Matrices

Many important problems are characterized by the eigenvalues of a large ...
02/09/2018 ∙ by Ryan P. Adams, et al. ∙ 0 ∙ share

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Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models

Professional-grade software applications are powerful but complicated-ex...
04/17/2017 ∙ by Ardavan Saeedi, et al. ∙ 0 ∙ share

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Recurrent switching linear dynamical systems

Many natural systems, such as neurons firing in the brain or basketball ...
10/26/2016 ∙ by Scott W. Linderman, et al. ∙ 0 ∙ share

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Composing graphical models with neural networks for structured representations and fast inference

We propose a general modeling and inference framework that composes prob...
03/20/2016 ∙ by Matthew J. Johnson, et al. ∙ 0 ∙ share

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Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation

Many practical modeling problems involve discrete data that are best rep...
06/18/2015 ∙ by Scott W. Linderman, et al. ∙ 0 ∙ share

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Detailed Derivations of Small-Variance Asymptotics for some Hierarchical Bayesian Nonparametric Models

In this note we provide detailed derivations of two versions of small-va...
12/31/2014 ∙ by Jonathan H. Huggins, et al. ∙ 0 ∙ share

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A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation

Rodent hippocampal population codes represent important spatial informat...
11/27/2014 ∙ by Scott W. Linderman, et al. ∙ 0 ∙ share

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The Hierarchical Dirichlet Process Hidden Semi-Markov Model

There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
03/15/2012 ∙ by Matthew J. Johnson, et al. ∙ 0 ∙ share

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Bayesian Nonparametric Hidden Semi-Markov Models

There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
03/07/2012 ∙ by Matthew J. Johnson, et al. ∙ 0 ∙ share

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