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Bayesian Inference

518 directly classified papers

Papers per year

Papers

Predicting response time and error rates in visual search NIPS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Bayesian Bias Mitigation for Crowdsourcing NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Learning unbelievable probabilities NIPS 2011
A Study of Approximate Inference in Probabilistic Relational Models ACML 2010
A Bayesian Framework for Figure-Ground Interpretation NIPS 2010
Why are DBNs sparse? AISTATS 2010
Global seismic monitoring as probabilistic inference NIPS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Functional form of motion priors in human motion perception NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Bayesian Action-Graph Games NIPS 2010
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
Help or Hinder: Bayesian Models of Social Goal Inference NIPS 2009
A Neural Implementation of the Kalman Filter NIPS 2009
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009