Bayesian & Probabilistic

Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Gates NeurIPS 2008 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008 Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Learning a discriminative hidden part model for human action recognition NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008