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"Quantifying Uncertainty in Discrete-Continuous and Skewed Data with ..."

Thomas Vandal et al. (2018)

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DOI: 10.1145/3219819.3219996

access: closed

type: Conference or Workshop Paper

metadata version: 2018-11-21

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  dblp key:
  - conf/kdd/VandalKDGNG18
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  - https://dblp.org/rec/conf/kdd/VandalKDGNG18
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD 2018: 2377-2386

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