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Probabilistic Modeling

2,599 papers

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Papers

Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Temporal Dynamics of Cognitive Control NIPS 2008
Sparse probabilistic projections NIPS 2008
Improving on Expectation Propagation NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NIPS 2008
The Mondrian Process NIPS 2008
Causal Reasoning with Ancestral Graphs JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Approximations for Binary Gaussian Process Classification JMLR 2008
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models RSS 2008
Detection of Principle Directions in Unknown Environments for Autonomous Navigation RSS 2008
Probabilistic Models of Object Geometry for Grasp Planning RSS 2008
Predictive Matrix-Variate t Models NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007