bayesian inference

Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Co-Training JMLR 2011 Bayesian Generalized Kernel Mixed Models JMLR 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bayesian Spike-Triggered Covariance Analysis NeurIPS 2011 Collective Graphical Models NeurIPS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Crowdclustering NeurIPS 2011 Dependent Hierarchical Beta Process for Image Interpolation and Denoising AISTATS 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NeurIPS 2011 Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference AISTATS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 Inferring spike-timing-dependent plasticity from spike train data NeurIPS 2011 Kernel Bayes' Rule NeurIPS 2011 Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011 MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011 Polytope samplers for inference in ill-posed inverse problems AISTATS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011