Bayesian Inference

Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Data Association in O(n) for Divide and Conquer SLAM RSS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 Heterogeneous Component Analysis NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Markov Chain Monte Carlo with People NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Modelling motion primitives and their timing in biologically executed movements NeurIPS 2007 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 New Outer Bounds on the Marginal Polytope NeurIPS 2007 On Sparsity and Overcompleteness in Image Models NeurIPS 2007 Optimal models of sound localization by barn owls NeurIPS 2007