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05/20/2021
Decomposing reverse-mode automatic differentiation
We decompose reverse-mode automatic differentiation into (forward-mode) ...
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11/29/2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
Deriving conditional and marginal distributions using conjugacy relation...
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10/16/2018
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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08/28/2018
SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning
Model-based reinforcement learning (RL) methods can be broadly categoriz...
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02/09/2018
Estimating the Spectral Density of Large Implicit Matrices
Many important problems are characterized by the eigenvalues of a large ...
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04/17/2017
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
Professional-grade software applications are powerful but complicated-ex...
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10/26/2016
Recurrent switching linear dynamical systems
Many natural systems, such as neurons firing in the brain or basketball ...
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03/20/2016
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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06/18/2015
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation
Many practical modeling problems involve discrete data that are best rep...
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12/31/2014
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...
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11/27/2014
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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03/15/2012
The Hierarchical Dirichlet Process Hidden Semi-Markov Model
There is much interest in the Hierarchical Dirichlet Process Hidden Mark...
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03/07/2012