Probabilistic Modeling

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 How memory biases affect information transmission: A rational analysis of serial reproduction NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Integrating Locally Learned Causal Structures with Overlapping Variables NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Load and Attentional Bayes NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE 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 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Probabilistic Models of Object Geometry for Grasp Planning RSS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008