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Probabilistic Modeling

2,599 papers

Papers per year

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Papers

Bayesian nonparametric models for ranked data NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
A nonparametric variable clustering model NIPS 2012
Transelliptical Graphical Models NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NIPS 2012
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
Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Learning with Target Prior NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Online Sum-Product Computation Over Trees NIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NIPS 2012