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cs.LG2019
BooVAE: Boosting Approach for Continual Learning of VAE
Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
Variational autoencoder (VAE) is a deep generative model for unsupervised learning, allowing to encode observations into the meaningful latent space. VAE is prone to catastrophic f…
cs.LG2019
MaxEntropy Pursuit Variational Inference
Evgenii Egorov, Kirill Neklydov, Ruslan Kostoev +1
One of the core problems in variational inference is a choice of approximate posterior distribution. It is crucial to trade-off between efficient inference with simple families as…