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Probabilistic Modeling

2,252 papers

Papers per year

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Papers

Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NIPS 2012
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests NIPS 2012
Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
Entangled Monte Carlo NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Natural Images, Gaussian Mixtures and Dead Leaves NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Density-Difference Estimation NIPS 2012
On Lifting the Gibbs Sampling Algorithm NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012