Bayesian & Probabilistic

Metropolis-Hastings Generative Adversarial Networks ICML 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Model Comparison for Semantic Grouping ICML 2019 Modeling Behavioral Aspects of Social Media Discourse for Moral Classification NAACL 2019 Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes NeurIPS 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations NeurIPS 2019 Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NeurIPS 2019 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019 Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic ICLR 2019 Moment-Based Variational Inference for Markov Jump Processes ICML 2019 Multiple Futures Prediction NeurIPS 2019 Multi-resolution Multi-task Gaussian Processes NeurIPS 2019 Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics MLHC 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Mutually Regressive Point Processes NeurIPS 2019 Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 2019 Neural Empirical Bayes JMLR 2019 Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction IJCAI 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019