bayesian inference

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Reified Context Models ICML 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Risk and Regret of Hierarchical Bayesian Learners ICML 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Scalable Model Selection for Large-Scale Factorial Relational Models ICML 2015 Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes ICML 2015 State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015 Stochastic Expectation Propagation NeurIPS 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 The Benefits of Learning with Strongly Convex Approximate Inference ICML 2015 The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015 The Poisson Gamma Belief Network NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Unlocking neural population non-stationarities using hierarchical dynamics models NeurIPS 2015 Variational Consensus Monte Carlo NeurIPS 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014