probabilistic inference

On Testing of Uniform Samplers AAAI 2019 On the Hardness of Probabilistic Inference Relaxations AAAI 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 Predicate Exchange: Inference with Declarative Knowledge ICML 2019 Real-Time Robotic Search using Structural Spatial Point Processes UAI 2019 Reasoning Visual Dialogs With Structural and Partial Observations CVPR 2019 Smoothing Structured Decomposable Circuits NeurIPS 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 3D Semantic Trajectory Reconstruction From 3D Pixel Continuum CVPR 2018 Algorithms for the Nearest Assignment Problem IJCAI 2018 A probabilistic population code based on neural samples NeurIPS 2018 A Unifying View of Geometry, Semantics, and Data Association in SLAM IJCAI 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Efficient Localized Inference for Large Graphical Models IJCAI 2018 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 From Stochastic Planning to Marginal MAP NeurIPS 2018 Importance Weighting and Variational Inference NeurIPS 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 Parameterised Queries and Lifted Query Answering IJCAI 2018 Representations of Bayesian networks by low-rank models PGM 2018 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 A Network Framework for Noisy Label Aggregation in Social Media ACL 2017