Bayesian approaches to distribution regression
Distribution regression has recently attracted much interest as a generic solution to the problem of supervised learning where labels are available at the group level, rather than at the individual level. Current approaches, however, do not propagate the uncertainty in observations due to sampling v...
| Main Authors: | , , , |
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| Format: | Conference item |
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Proceedings of Machine Learning Research
2018
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