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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Unifying the Sensory and Motor Components of Sensorimotor Adaptation NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
Learning Transformational Invariants from Natural Movies NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets NIPS 2008
Gates NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE 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
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Bounds on marginal probability distributions NIPS 2008
Load and Attentional Bayes NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008