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Bayesian Inference

5,566 papers

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Papers

Posterior distributions are computable from predictive distributions AISTATS 2010
Variational methods for Reinforcement Learning AISTATS 2010
Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010
Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Learning Bayesian Network Structure using LP Relaxations AISTATS 2010
Simple Exponential Family PCA AISTATS 2010
Elliptical slice sampling 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
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Nonparametric prior for adaptive sparsity AISTATS 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Active Sequential Learning with Tactile Feedback AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010
An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Dependent Indian Buffet Processes AISTATS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010