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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Bayesian Co-Training NIPS 2007
The rat as particle filter NIPS 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Characterizing the Function Space for Bayesian Kernel Models JMLR 2007
Variational inference for Markov jump processes NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
On Sparsity and Overcompleteness in Image Models NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
The Infinite Markov Model NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
A Bayesian Framework for Cross-Situational Word-Learning NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006