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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Sparse probabilistic projections NIPS 2008
Improving on Expectation Propagation NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Approximations for Binary Gaussian Process Classification JMLR 2008
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008
Probabilistic Models of Object Geometry for Grasp Planning RSS 2008
Detection of Principle Directions in Unknown Environments for Autonomous Navigation RSS 2008
Bayesian Exponential Family PCA NIPS 2008
Multi-Agent Filtering with Infinitely Nested Beliefs NIPS 2008
Efficient Exact Inference in Planar Ising Models NIPS 2008
Mixed Membership Stochastic Blockmodels NIPS 2008
The Mondrian Process NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Gates NIPS 2008
Causal Reasoning with Ancestral Graphs JMLR 2008
Learning Bounded Treewidth Bayesian Networks NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008