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Probabilistic Modeling

2,252 papers

Papers per year

5
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212
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Papers

On the Sample Complexity of Robust PCA NIPS 2012
A Better Way to Pretrain Deep Boltzmann Machines NIPS 2012
Bayesian nonparametric models for ranked data NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process NIPS 2012
Probabilistic n-Choose-k Models for Classification and Ranking NIPS 2012
Learning as MAP Inference in Discrete Graphical Models NIPS 2012
Repulsive Mixtures NIPS 2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NIPS 2012
Semi-Supervised Domain Adaptation with Non-Parametric Copulas NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
A Conditional Multinomial Mixture Model for Superset Label Learning NIPS 2012
Hierarchical spike coding of sound NIPS 2012
Transelliptical Graphical Models NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Probabilistic Low-Rank Subspace Clustering NIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NIPS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012