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Bayesian Inference

4821 directly classified papers

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Papers

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Posterior distributions are computable from predictive distributions AISTATS 2010
MAP Estimation for Graphical Models by Likelihood Maximization NIPS 2010
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Active Sequential Learning with Tactile Feedback AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010
An Approximate Inference Approach to Temporal Optimization in Optimal Control NIPS 2010
An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Belief Revision with Structural Constraints NIPS 2010
Dependent Indian Buffet Processes AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Global seismic monitoring as probabilistic inference NIPS 2010