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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Evidence Estimation for Bayesian Partially Observed MRFs AISTATS 2013
Deep Gaussian Processes AISTATS 2013
Fast Near-GRID Gaussian Process Regression AISTATS 2013
Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
Memoized Online Variational Inference for Dirichlet Process Mixture Models NIPS 2013
Completeness Results for Lifted Variable Elimination AISTATS 2013
Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013
On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Reconciling "priors" & "priors" without prejudice? NIPS 2013
An Optimal Policy for Target Localization with Application to Electron Microscopy ICML 2013
Fast Probabilistic Optimization from Noisy Gradients ICML 2013
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference NIPS 2013
Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013
Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs CVPR 2013
Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013
Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior CVPR 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013