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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NIPS 2012
Hierarchical spike coding of sound NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Semi-Supervised Domain Adaptation with Non-Parametric Copulas NIPS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012
Subset Infinite Relational Models AISTATS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Kernel Topic Models AISTATS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Statistical Models for Exploring Individual Email Communication Behavior ACML 2012
Recovering Networks from Distance Data ACML 2012