Bayesian Inference

Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 An Application of Tree-Structured Expectation Propagation for Channel Decoding NeurIPS 2011 An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models JMLR 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 Approximate Marginals in Latent Gaussian Models JMLR 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Bagged Structure Learning of Bayesian Network AISTATS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Co-Training JMLR 2011 Bayesian Generalized Kernel Mixed Models JMLR 2011 Bayesian Hierarchical Cross-Clustering AISTATS 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Bayesian Spike-Triggered Covariance Analysis NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Crowdclustering NeurIPS 2011 Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011