probabilistic inference

A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Distributed Stochastic Gradient MCMC ICML 2014 Efficient Continuous-Time Markov Chain Estimation ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Inferning with High Girth Graphical Models ICML 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Multiview Shape and Reflectance from Natural Illumination CVPR 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Completeness Results for Lifted Variable Elimination AISTATS 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013