bayesian inference

A-NICE-MC: Adversarial Training for MCMC NeurIPS 2017 A Probabilistic Generative Grammar for Semantic Parsing CoNLL 2017 Asymptotically exact inference in differentiable generative models AISTATS 2017 A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017 Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017 Averaged Collapsed Variational Bayes Inference JMLR 2017 Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing IJCAI 2017 Bayesian Boolean Matrix Factorisation ICML 2017 Bayesian Dynamic Mode Decomposition IJCAI 2017 Bayesian GAN NeurIPS 2017 Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CoRL 2017 Bayesian Inference for Spatio-temporal Spike-and-Slab Priors JMLR 2017 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NeurIPS 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CoRL 2017 Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Bayesian Supervised Hashing CVPR 2017 Bayesian Tensor Regression JMLR 2017 Compressed Nonparametric Language Modelling IJCAI 2017 Convergence rates of a partition based Bayesian multivariate density estimation method NeurIPS 2017 CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017 Deep Mean-Shift Priors for Image Restoration NeurIPS 2017 Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017