NIPS Proceedingsβ

Guy Van den Broeck

7 Papers

  • On Tractable Computation of Expected Predictions (2019)
  • Smoothing Structured Decomposable Circuits (2019)
  • Towards Hardware-Aware Tractable Learning of Probabilistic Models (2019)
  • Approximate Knowledge Compilation by Online Collapsed Importance Sampling (2018)
  • New Liftable Classes for First-Order Probabilistic Inference (2016)
  • Tractable Learning for Complex Probability Queries (2015)
  • On the Complexity and Approximation of Binary Evidence in Lifted Inference (2013)