probabilistic inference

Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Learning unbelievable probabilities NeurIPS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010 Inference and Learning in Networks of Queues AISTATS 2010 Inference with Multivariate Heavy-Tails in Linear Models NeurIPS 2010 Learning Efficient Markov Networks NeurIPS 2010 Mass Fatality Incident Identification based on nuclear DNA evidence AISTATS 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 On Combining Graph-based Variance Reduction schemes AISTATS 2010 Parallelizable Sampling of Markov Random Fields AISTATS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010