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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Bayesian Probabilistic Co-Subspace Addition NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NIPS 2012
Burn-in, bias, and the rationality of anchoring NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
The variational hierarchical EM algorithm for clustering hidden Markov models NIPS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Active Learning of Model Evidence Using Bayesian Quadrature NIPS 2012
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NIPS 2012
Fast Variational Inference in the Conjugate Exponential Family NIPS 2012
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NIPS 2012
Bayesian active learning with localized priors for fast receptive field characterization NIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
Putting Bayes to sleep NIPS 2012
Nonparanormal Belief Propagation (NPNBP) NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Dual-Space Analysis of the Sparse Linear Model NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Training sparse natural image models with a fast Gibbs sampler of an extended state space NIPS 2012
Monte Carlo Methods for Maximum Margin Supervised Topic Models NIPS 2012
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NIPS 2012