probabilistic inference

First-order Decomposition Trees NeurIPS 2013 Holistic Scene Understanding for 3D Object Detection with RGBD Cameras ICCV 2013 Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Semantic Maps from Natural Language Descriptions RSS 2013 Marginals-to-Models Reducibility NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013 A Generative Model for Parts-based Object Segmentation NeurIPS 2012 Causality with Gates AISTATS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians RSS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Lifted Linear Programming AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 Slice Normalized Dynamic Markov Logic Networks NeurIPS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 Collective Graphical Models NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NeurIPS 2011