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← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

2,252 papers

Papers per year

5
84
58
212
96
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Papers

Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
Statistical Models for Exploring Individual Email Communication Behavior ACML 2012
Recovering Networks from Distance Data ACML 2012
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis ACML 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012
Adaptive Metropolis with Online Relabeling AISTATS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Kernel Topic Models AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Subset Infinite Relational Models AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012
Lifted Linear Programming AISTATS 2012
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Low rank continuous-space graphical models AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
On Estimation and Selection for Topic Models AISTATS 2012