Bayesian Inference

Asymptotically exact inference in differentiable generative models AISTATS 2017 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017 A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017 Automatic Differentiation Variational Inference JMLR 2017 Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017 Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017 Averaged Collapsed Variational Bayes Inference JMLR 2017 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing IJCAI 2017 Bayesian Compression for Deep Learning NeurIPS 2017 Bayesian Dynamic Mode Decomposition IJCAI 2017 Bayesian GAN NeurIPS 2017 Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CoRL 2017 Bayesian Hybrid Matrix Factorisation for Data Integration AISTATS 2017 Bayesian Inference for Spatio-temporal Spike-and-Slab Priors JMLR 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Bayesian Network Learning via Topological Order JMLR 2017 Bayesian Optimization with Tree-structured Dependencies ICML 2017 Bayesian Supervised Hashing CVPR 2017 Bayesian Tensor Regression JMLR 2017 Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017