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Discrete-Continuous BDL

This work was published in KDD 2018 Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning

Citation: Thomas Vandal, Evan Kodra, Jennifer Dy, Sangram Ganguly, Ramakrishna Nemani, and Auroop R. Ganguly. 2018. Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18). Association for Computing Machinery, New York, NY, USA, 2377–2386. DOI:https://doi.org/10.1145/3219819.3219996

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Uncertainty Quantification of Disctete-Continuous Distribution with Bayesian Deep Learning in KDD 2018

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