Bayesian Inference

Syntactic Topic Models NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007 Agreement-Based Learning NeurIPS 2007 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Bayesian Quadratic Discriminant Analysis JMLR 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007