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The 35th Uncertainty in Artificial Intelligence Conference: Preface

Ryan Adams, Vibhav Gogate

Abstract

The Conference on Uncertainty in Artificial Intelligence (UAI) is the premier international conference on research related to representation, inference, learning and decision making in the presence of uncertainty within the field of Artificial Intelligence. This volume contains all papers that were accepted for the 35th UAI Conference, held in Tel Aviv, Israel from July 22 to 25, 2019.

BibTeX
@InProceedings{pmlr-v115-adams20a,
  title = 	 {The 35th Uncertainty in Artificial Intelligence Conference: Preface},
  author =       {Adams, Ryan and Gogate, Vibhav},
  booktitle = 	 {Proceedings of The 35th Uncertainty in Artificial Intelligence Conference},
  pages = 	 {1--17},
  year = 	 {2020},
  editor = 	 {Adams, Ryan P. and Gogate, Vibhav},
  volume = 	 {115},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {22--25 Jul},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v115/adams20a/adams20a.pdf},
  url = 	 {https://proceedings.mlr.press/v115/adams20a.html},
  abstract = 	 {The Conference on Uncertainty in Artificial Intelligence (UAI) is the premier international conference on research related to representation, inference, learning and decision making in the presence of uncertainty within the field of Artificial Intelligence. This volume contains all papers that were accepted for the 35th UAI Conference, held in Tel Aviv, Israel from July 22 to 25, 2019.}
}
The 35th Uncertainty in Artificial Intelligence Conference: Preface · UAI 2019