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10/28/2020
The Evidence Lower Bound of Variational Autoencoders Converges to a Sum of Three Entropies
The central objective function of a variational autoencoder (VAE) is its...
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10/01/2018
Accelerated Training of Large-Scale Gaussian Mixtures by a Merger of Sublinear Approaches
We combine two recent lines of research on sublinear clustering to signi...
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11/09/2017
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means
One iteration of k-means or EM for Gaussian mixture models (GMMs) scales...
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04/16/2017
k-Means is a Variational EM Approximation of Gaussian Mixture Models
We show that k-means (Lloyd's algorithm) is equivalent to a variational ...
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02/07/2017
Truncated Variational EM for Semi-Supervised Neural Simpletrons
Inference and learning for probabilistic generative networks is often ve...
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06/28/2015