conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013
Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013
Fast Near-GRID Gaussian Process Regression AISTATS 2013
Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013
A recursive estimate for the predictive likelihood in a topic model AISTATS 2013
Completeness Results for Lifted Variable Elimination AISTATS 2013
On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013
Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model CVPR 2013
Recognize Human Activities from Partially Observed Videos CVPR 2013
Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013
Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior CVPR 2013
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013
Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction CVPR 2013
Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013