Accepted Papers

See all accepted papers on OpenReview.

• A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
  Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate
• A confidence machine for sparse high-order interaction model
  Diptesh Das, Eugene Ndiaye, Ichiro Takeuchi
• Conditional Bayesian Quadrature
  Zonghao Chen, Masha Naslidnyk, Arthur Gretton, Francois-Xavier Briol
• GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings
  Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný
• Hyperparameter Optimization via Interacting with Probabilistic Circuits
  Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
• IBIA: An Incremental Build-Infer-Approximate Framework for Approximate Inference of Partition Function
  Shivani Bathla, Vinita Vasudevan
• Neural Network Approximators for Marginal MAP in Probabilistic Circuits
  Shivvrat Arya, Tahrima Rahman, Vibhav Giridhar Gogate
• On Hardware-efficient Inference in Probabilistic Circuits
  Lingyun Yao, Martin Trapp, Jelin Leslin, Gaurav Singh, Peng Zhang, Karthekeyan Periasamy, Martin Andraud
• On the Relationship Between Monotone and Squared Probabilistic Circuits
  Benjie Wang, Guy Van den Broeck
• Polynomial Semantics of Tractable Probabilistic Circuits
  Oliver Broadrick, Honghua Zhang, Guy Van den Broeck
• Probabilistic Circuits for Cumulative Distribution Functions
  Oliver Broadrick, William Cao, Benjie Wang, Martin Trapp, Guy Van den Broeck
• Probabilistic Inference by Projected Weighted Model Counting on Horn Clauses
  Alexandre Dubray, Siegfried Nijssen
• Towards reliable outlier detection using invertible one-class networks
  Robert Schmier, Ullrich Koethe, Christoph-Nikolas Straehle
• χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
  Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zečević, Kristian Kersting, Devendra Singh Dhami