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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

Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Random Utility Theory for Social Choice NIPS 2012
Repulsive Mixtures NIPS 2012
Burn-in, bias, and the rationality of anchoring NIPS 2012
Bayesian active learning with localized priors for fast receptive field characterization NIPS 2012
Putting Bayes to sleep NIPS 2012
Inference on networks of mixtures for robust robot mapping RSS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NIPS 2012
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Bayesian Co-Training JMLR 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
Kernel Bayes' Rule NIPS 2011
Priors over Recurrent Continuous Time Processes NIPS 2011
Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011
Bayesian Bias Mitigation for Crowdsourcing NIPS 2011