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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Query-Aware MCMC NIPS 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Kernel Bayes' Rule NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
PAC-Bayesian Analysis of Contextual Bandits NIPS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
t-divergence Based Approximate Inference NIPS 2011
Elliptical slice sampling AISTATS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010