Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
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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.

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@inproceedings{KDD-2018-VandalKDGNG,
	author        = "Thomas Vandal and Evan Kodra and Jennifer G. Dy and Sangram Ganguly and Ramakrishna R. Nemani and Auroop R. Ganguly",
	booktitle     = "{Proceedings of the 24th International Conference on Knowledge Discovery and Data Mining}",
	doi           = "10.1145/3219819.3219996",
	pages         = "2377--2386",
	publisher     = "{ACM}",
	title         = "{Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning}",
	year          = 2018,
}

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