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Francisco J. R. Ruiz

2 accepted papers

2021

Information theoretic meta learning with Gaussian processes

UAI 2021poster

We formulate meta learning using information theoretic concepts; namely, mutual information and the information bottleneck. The idea is to learn a stochastic representation or encoding of the task description, given by a training set, that is highly informative about predicting the validation set. B…

2021

Unbiased gradient estimation for variational auto-encoders using coupled Markov chains

UAI 2021poster

The variational auto-encoder (VAE) is a deep latent variable model that has two neural networks in an autoencoder-like architecture; one of them parameterizes the model’s likelihood. Fitting its parameters via maximum likelihood (ML) is challenging since the computation of the marginal likelihood in…

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