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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

Stochastic Variational Inference JMLR 2013
Finding Optimal Bayesian Networks Using Precedence Constraints JMLR 2013
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013
Approximating the Permanent with Fractional Belief Propagation JMLR 2013
Gaussian Kullback-Leibler Approximate Inference JMLR 2013
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013
Bayesian Fusion for Multi-Modal Aerial Images RSS 2013
FastEx: Hash Clustering with Exponential Families NIPS 2012
The Bethe Partition Function of Log-supermodular Graphical Models NIPS 2012
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Minimization of Continuous Bethe Approximations: A Positive Variation NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012