Bayesian Inference

Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data 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 Laser and Vision Based Outdoor Object Mapping RSS 2008 Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 JMLR 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Maximal Causes for Non-linear Component Extraction JMLR 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Prior Data and Kernel Conditional Random Fields for Obstacle Detection RSS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation 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