Bayesian & Probabilistic

An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 A Network Framework for Noisy Label Aggregation in Social Media ACL 2017 An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017 A-NICE-MC: Adversarial Training for MCMC NeurIPS 2017 An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction Interspeech 2017 A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NeurIPS 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 Averaged Collapsed Variational Bayes Inference JMLR 2017 A Word Embeddings Informed Focused Topic Model ACML 2017 Bayesian Dyadic Trees and Histograms for Regression NeurIPS 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 of Dynamic Multilayer Networks JMLR 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017 Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NeurIPS 2017 Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields IJCNLP 2017 Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017 Collapsed variational Bayes for Markov jump processes NeurIPS 2017 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 Compressed Nonparametric Language Modelling IJCAI 2017