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05/17/2019
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias
Truncated backpropagation through time (TBPTT) is a popular method for l...
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01/29/2019
Stochastic Gradient MCMC for Nonlinear State Space Models
State space models (SSMs) provide a flexible framework for modeling comp...
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10/22/2018
Stochastic Gradient MCMC for State Space Models
State space models (SSMs) are a flexible approach to modeling complex ti...
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07/19/2018
Approximate Collapsed Gibbs Clustering with Expectation Propagation
We develop a framework for approximating collapsed Gibbs sampling in gen...
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04/02/2014
Learning Latent Block Structure in Weighted Networks
Community detection is an important task in network analysis, in which w...
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05/24/2013