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Bayesian Inference
ServiceNow Research
Bayesian Inference
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Learning the causal structure that underlies data is a crucial step towards robust real-world decision making. The majority of existing …
Yashas Annadani
,
Jonas Rothfuss
,
Alexandre Lacoste
,
Nino Scherrer
,
Anirudh Goyal
,
Yoshua Bengio
,
Stefan Bauer
Workshop at the International Conference on Machine Learning (ICML), 2021.
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Bayesian Hypernetworks
We study Bayesian hypernetworks: a framework for approximate Bayesian inference in neural networks. A Bayesian hypernetwork $\h$ is a …
David Krueger
,
Chin-Wei Huang
,
Riashat Islam
,
Ryan Turner
,
Alexandre Lacoste
,
Aaron Courville
Workshop at the Neural Information Processing Systems (NeurIPS), 2017.
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