Probabilistic Modeling

Supervised I-vector Modeling - Theory and Applications Interspeech 2018 Tagging Like Humans: Diverse and Distinct Image Annotation CVPR 2018 Temporal Poisson Square Root Graphical Models ICML 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The Importance of Calibration for Estimating Proportions from Annotations NAACL 2018 Theoretical guarantees for EM under misspecified Gaussian mixture models NeurIPS 2018 The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018 ACL 2018 Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018 Unifying DAGs and UGs PGM 2018 Variational Inference based on Robust Divergences AISTATS 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018 ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task IJCNLP 2017 Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 An Automatic Approach for Document-level Topic Model Evaluation CoNLL 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 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 Averaged Collapsed Variational Bayes Inference JMLR 2017 A Word Embeddings Informed Focused Topic Model ACML 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017