Bayesian Inference

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 Human Kernel NeurIPS 2015 The Libra Toolkit for Probabilistic Models JMLR 2015 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Tractable Learning for Complex Probability Queries 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 Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Inference with Normalizing Flows ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression CVPR 2015 WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 Weight Uncertainty in Neural Network ICML 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 Accelerating ABC methods using Gaussian processes AISTATS 2014 A Compilation Target for Probabilistic Programming Languages ICML 2014