UAI 2023 - Awards

Best Full Paper Award: Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting , by John Mark Agosta and Mario Inchiosa
Best Abstract Award: A novel integration of Dynamic Bayesian Networks and Non-Additive modeling to study ecological resilience , by Edwin Hui, Richard Stafford, Iain M Matthews, V Anne Smith
Best Abstract Award: Development of a Bayesian Network to Model Malicious Cyber-Activity in Operational Technology Environments , by Lee Maccarone, Dennis Buede, Scott Bowman, Charles Burdick, Macleod Bracken, Jeremy Jones, Gabriel Weaver

We would like to feature the following award-winning papers of the main conference. Congratulations!

Best Paper Award: Establishing Markov Equivalence in Cyclic Directed Graphs, by Tom Claassen and Joris Mooij
Best Student Paper Award: MixupE: Understanding and Improving Mixup from Directional Derivative Perspective, by Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
Best Paper Runner-up Award: Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective, by Mohamed El Amine Seddik, Malik Tiomoko, Alexis Decurninge, Maxime Guillaud, Maxim Panov