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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Practical Variational Inference for Neural Networks NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Crowdclustering NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Bayesian Generalized Kernel Mixed Models JMLR 2011
Collective Graphical Models NIPS 2011
Approximate inference for the loss-calibrated Bayesian AISTATS 2011
Additive Gaussian Processes NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
Active learning of neural response functions with Gaussian processes NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011