marginal inference

On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition EMNLP 2024 Polynomial Semantics of Tractable Probabilistic Circuits UAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 Approximate inference of marginals using the IBIA framework NeurIPS 2023 Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables AAAI 2021 Relaxed Marginal Consistency for Differentially Private Query Answering NeurIPS 2021 Deep Convolutional Sum-Product Networks AAAI 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2019 Efficient Localized Inference for Large Graphical Models IJCAI 2018 The Effect of Combination Functions on the Complexity of Relational Bayesian Networks PGM 2016 Uprooting and Rerooting Graphical Models ICML 2016 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Message Passing for Collective Graphical Models ICML 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010