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06/08/2021
Marginalizable Density Models
Probability density models based on deep networks have achieved remarkab...
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01/30/2021
Estimating the Unique Information of Continuous Variables
Partial information decompositions (PIDs) identify different modes in wh...
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10/29/2020
Attentive Clustering Processes
Amortized approaches to clustering have recently received renewed attent...
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12/28/2018
Discrete Neural Processes
Many data generating processes involve latent random variables over disc...
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11/24/2018
Amortized Bayesian inference for clustering models
We develop methods for efficient amortized approximate Bayesian inferenc...
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11/02/2017
Binary Bouncy Particle Sampler
The Bouncy Particle Sampler is a novel rejection-free non-reversible sam...
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09/03/2016
Stochastic Bouncy Particle Sampler
We introduce a novel stochastic version of the non-reversible, rejection...
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03/07/2016
