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Showing 1 to 3 of 3 for “"Mean-field Variational Inference"”.
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Provable Algorithms for Learning and Variational Inference in Undirected Graphical Models
… from samples, and related problems of performing inference on a known model, both areas of research which have been the subject of continued interest over the years. Our main contributions are the first computationally efficient algorithms for provably (1) learning a (possibly ill-conditioned) …
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Improved Sampling and Variational Inference Methods for Neural Networks
… Networks (BNNs), an application of Bayesian inference to neural networks, offer an alternative way of training. They combine multiple weight settings, each compatible with the training data, and quantify the uncertainty about the network's weights. While Bayesian inference applied to neural …
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Statistical inference in high dimensional data and machine learning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01