Bayesian & Probabilistic

Submodular Point Processes with Applications to Machine learning AISTATS 2015 Swept Approximate Message Passing for Sparse Estimation ICML 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 Human Kernel NeurIPS 2015 The Libra Toolkit for Probabilistic Models JMLR 2015 The Poisson Gamma Belief Network NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NeurIPS 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Unlocking neural population non-stationarities using hierarchical dynamics models NeurIPS 2015 Unsupervised Learning by Program Synthesis NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Vector-Valued Property Elicitation COLT 2015 Weight Uncertainty in Neural Network ICML 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014 Accelerating ABC methods using Gaussian processes AISTATS 2014