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stat.ML2018
Sequential sampling of Gaussian process latent variable models
Martin Tegner, Benjamin Bloem-Reddy, Stephen Roberts
We consider the problem of inferring a latent function in a probabilistic model of data. When dependencies of the latent function are specified by a Gaussian process and the data l…
stat.ML2018
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu +1
Empirical evidence suggests that heavy-tailed degree distributions occurring in many real networks are well-approximated by power laws with exponents that may take values eithe…