Bayesian & Probabilistic

Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017 Order Statistics for Probabilistic Graphical Models IJCAI 2017 Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 Personalized Quantification of Voice Attractiveness in Multidimensional Merit Space Interspeech 2017 Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks CVPR 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 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017 Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017 Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Probabilistic Line Searches for Stochastic Optimization JMLR 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Rule Realization and Selection NeurIPS 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Qualitative Differences in L3 Learners’ Neurophysiological Response to L1 versus L2 Transfer Interspeech 2017 Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach IJCAI 2017 Random Feature Expansions for Deep Gaussian Processes ICML 2017 Reasoning about Probabilities in Unbounded First-Order Dynamical Domains IJCAI 2017 Recovering Probability Distributions from Missing Data ACML 2017 Reliable Decision Support using Counterfactual Models NeurIPS 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017