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Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
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Papers

Bagged Structure Learning of Bayesian Network AISTATS 2011
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Fast $b$-matching via Sufficient Selection Belief Propagation AISTATS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Kernel Belief Propagation AISTATS 2011
Estimating Probabilities in Recommendation Systems AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation AISTATS 2011
Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011
Logistic Stick-Breaking Process JMLR 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011