probabilistic modeling

An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression Interspeech 2017 A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NeurIPS 2017 A Probabilistic Generative Grammar for Semantic Parsing CoNLL 2017 A simple model of recognition and recall memory NeurIPS 2017 Averaged Collapsed Variational Bayes Inference JMLR 2017 Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing IJCAI 2017 Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017 Collapsed variational Bayes for Markov jump processes NeurIPS 2017 ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017 Entity Suggestion with Conceptual Expanation IJCAI 2017 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017 Gain Compensation for Fast i-Vector Extraction Over Short Duration Interspeech 2017 Grounding Abstract Spatial Concepts for Language Interaction with Robots IJCAI 2017 Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters EMNLP 2017 Improving Variational Methods via Pairwise Linear Response Identities JMLR 2017 Inferring Generative Model Structure with Static Analysis NeurIPS 2017 Integrating Specialized Classifiers Based on Continuous Time Markov Chain IJCAI 2017 Interactive Image Segmentation via Pairwise Likelihood Learning IJCAI 2017 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning Determinantal Point Processes with Moments and Cycles ICML 2017 Learning User Dependencies for Recommendation IJCAI 2017 Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds IJCAI 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017