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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013
Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013
Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013
Sparse Single-Index Model JMLR 2013
The Extended Parameter Filter ICML 2013
Bayesian Fusion for Multi-Modal Aerial Images RSS 2013
Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013
Dependent Normalized Random Measures ICML 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
A Non-parametric Bayesian Network Prior of Human Pose ICCV 2013
Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013
Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks ICML 2013
Infinite Markov-Switching Maximum Entropy Discrimination Machines ICML 2013
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NIPS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013