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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Probabilistic amplitude and frequency demodulation NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
The Kernel Beta Process NIPS 2011
Variational Learning for Recurrent Spiking Networks NIPS 2011
Bayesian Bias Mitigation for Crowdsourcing NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
Priors over Recurrent Continuous Time Processes NIPS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Modelling Genetic Variations using Fragmentation-Coagulation Processes NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Crowdclustering NIPS 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
The Doubly Correlated Nonparametric Topic Model NIPS 2011
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Learning unbelievable probabilities NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Spatial distance dependent Chinese restaurant processes for image segmentation NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011