Variational inference & deep learning A new synthesis
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| Award date | 25-10-2017 |
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| Number of pages | 162 |
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| Abstract |
In this thesis, Variational Inference and Deep Learning: A New Synthesis, we propose novel solutions to the problems of variational (Bayesian) inference, generative modeling, representation learning, semi-supervised learning, and stochastic optimization. |
| Document type | PhD thesis |
| Language | English |
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