
Autoconj: Recognizing and Exploiting Conjugacy Without a DomainSpecific Language
Deriving conditional and marginal distributions using conjugacy relation...
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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...
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SOLAR: Deep Structured Latent Representations for ModelBased Reinforcement Learning
Modelbased reinforcement learning (RL) methods can be broadly categoriz...
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Estimating the Spectral Density of Large Implicit Matrices
Many important problems are characterized by the eigenvalues of a large ...
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Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
Professionalgrade software applications are powerful but complicatedex...
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Recurrent switching linear dynamical systems
Many natural systems, such as neurons firing in the brain or basketball ...
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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...
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Dependent Multinomial Models Made Easy: Stick Breaking with the PólyaGamma Augmentation
Many practical modeling problems involve discrete data that are best rep...
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Detailed Derivations of SmallVariance Asymptotics for some Hierarchical Bayesian Nonparametric Models
In this note we provide detailed derivations of two versions of smallva...
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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...
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The Hierarchical Dirichlet Process Hidden SemiMarkov Model
There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
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Bayesian Nonparametric Hidden SemiMarkov Models
There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
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Matthew J. Johnson
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