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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Scalable Collaborative Bayesian Preference Learning AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Tilted Variational Bayes AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Fully-Automatic Bayesian Piecewise Sparse Linear Models AISTATS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Random Bayesian networks with bounded indegree AISTATS 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014
Finding a most biased coin with fewest flips COLT 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Stochastic variational inference for hidden Markov models NIPS 2014