Probabilistic Modeling

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation JMLR 2010 A unified model of short-range and long-range motion perception NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010 Copula Bayesian Networks NeurIPS 2010 Copula Processes NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010 FastInf: An Efficient Approximate Inference Library JMLR 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Focused Belief Propagation for Query-Specific Inference AISTATS 2010