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Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
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Papers

Accelerated Variational Dirichlet Process Mixtures NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Hierarchical Dirichlet Processes with Random Effects NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Causal inference in sensorimotor integration NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Conditional mean field NIPS 2006