Bayesian & Probabilistic

On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017 On the Model Shrinkage Effect of Gamma Process Edge Partition Models NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Order Statistics for Probabilistic Graphical Models IJCAI 2017 Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 Perturbative Black Box Variational Inference NeurIPS 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems ACML 2017 Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations IJCAI 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 Post-Inference Prior Swapping ICML 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Temporal Subspace Clustering CVPR 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Recovering Probability Distributions from Missing Data ACML 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 Refinery: An Open Source Topic Modeling Web Platform JMLR 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging CVPR 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017 Robust Conditional Probabilities NeurIPS 2017