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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Transelliptical Graphical Models 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
Priors for Diversity in Generative Latent Variable Models NIPS 2012
Slice Normalized Dynamic Markov Logic Networks NIPS 2012
Learning from the Wisdom of Crowds by Minimax Entropy NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes NIPS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Learning with Target Prior NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Majorization for CRFs and Latent Likelihoods NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012
Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NIPS 2012
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011
On Tracking The Partition Function NIPS 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Faster Algorithms for Max-Product Message-Passing JMLR 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011