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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Improvements to the Sequence Memoizer NIPS 2010
Global seismic monitoring as probabilistic inference NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Copula Processes NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Bayesian variable order Markov models AISTATS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Posterior distributions are computable from predictive distributions AISTATS 2010
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries 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
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
Nonparametric prior for adaptive sparsity AISTATS 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis 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