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"Evaluating Approximate Inference in Bayesian Deep Learning."

Andrew Gordon Wilson et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-08-11

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/nips/WilsonIHGLPVFLF21
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  persistent URL:
  - https://dblp.org/rec/conf/nips/WilsonIHGLPVFLF21
Andrew Gordon Wilson, Pavel Izmailov, Matthew D. Hoffman, Yarin Gal, Yingzhen Li, Melanie F. Pradier, Sharad Vikram, Andrew Y. K. Foong, Sanae Lotfi, Sebastian Farquhar:
Evaluating Approximate Inference in Bayesian Deep Learning. NeurIPS (Competition and Demos) 2021: 113-124

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