Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models

Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo. Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 2020-2028, ACM, 2022. [doi]

@inproceedings{WilsonMGTL22,
  title = {Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models},
  author = {Tyler Wilson and Andrew McDonald and Asadullah Hill Galib and Pang-Ning Tan and Lifeng Luo},
  year = {2022},
  doi = {10.1145/3534678.3539464},
  url = {https://doi.org/10.1145/3534678.3539464},
  researchr = {https://researchr.org/publication/WilsonMGTL22},
  cites = {0},
  citedby = {0},
  pages = {2020-2028},
  booktitle = {KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022},
  editor = {Aidong Zhang and Huzefa Rangwala},
  publisher = {ACM},
  isbn = {978-1-4503-9385-0},
}