Generative modelling for supervised, unsupervised and private learning
<p>In this thesis we develop several state-of-the-art generative modelling-based approaches for a variety of supervised, unsupervised and private learning problems. In the (almost) supervised domain, we tackle the problems of treatment effect estimation, imputation and feature selection. For t...
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| Materialtyp: | Lärdomsprov |
| Språk: | English |
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2021
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