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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007
Bayesian Quadratic Discriminant Analysis JMLR 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Modelling motion primitives and their timing in biologically executed movements NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding NIPS 2007
Agreement-Based Learning NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Optimal models of sound localization by barn owls NIPS 2007
TrueSkill Through Time: Revisiting the History of Chess NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
The Generalized FITC Approximation NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007