Bayesian Inference

Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Interpreting the neural code with Formal Concept Analysis NeurIPS 2008 Load and Attentional Bayes NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008