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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Distance Dependent Chinese Restaurant Processes JMLR 2011
Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011
Bayesian Co-Training JMLR 2011
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
On Tracking The Partition Function NIPS 2011
Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011
Hierarchical Probabilistic Models for Group Anomaly Detection AISTATS 2011
A Spike and Slab Restricted Boltzmann Machine AISTATS 2011
Minimax Algorithm for Learning Rotations COLT 2011
A conditional game for comparing approximations AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Robust Bayesian Matrix Factorisation AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
The Kernel Beta Process NIPS 2011
Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Bagged Structure Learning of Bayesian Network AISTATS 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Learning unbelievable probabilities NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011