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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Online Learning for Latent Dirichlet Allocation NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Bayesian variable order Markov models AISTATS 2010
Neural conditional random fields AISTATS 2010
Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms AISTATS 2010
Simple Exponential Family PCA AISTATS 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Identifying Cause and Effect on Discrete Data using Additive Noise Models AISTATS 2010
Nonparametric prior for adaptive sparsity AISTATS 2010