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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

Gaussian sampling by local perturbations NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Functional form of motion priors in human motion perception NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations 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
Variational Relevance Vector Machine for Tabular Data ACML 2010
Hierarchical Gaussian Process Regression ACML 2010
Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Mass Fatality Incident Identification based on nuclear DNA evidence AISTATS 2010
Improving posterior marginal approximations in latent Gaussian models 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