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Probabilistic Modeling

2,599 papers

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Papers

Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction IJCAI 2019
Lifted Message Passing for Hybrid Probabilistic Inference IJCAI 2019
On Constrained Open-World Probabilistic Databases IJCAI 2019
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning IJCAI 2019
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models IJCAI 2019
Evaluating Topic Quality with Posterior Variability IJCNLP 2019
Neural Gaussian Copula for Variational Autoencoder IJCNLP 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation IJCNLP 2019
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules IJCNLP 2019
Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function INTERSPEECH 2019
Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams INTERSPEECH 2019
A Unified Bayesian Source Modelling for Determined Blind Source Separation INTERSPEECH 2019
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition INTERSPEECH 2019
Variational Domain Adversarial Learning for Speaker Verification INTERSPEECH 2019
Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model INTERSPEECH 2019
Pyro: Deep Universal Probabilistic Programming JMLR 2019
Matched Bipartite Block Model with Covariates JMLR 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019
Generic Inference in Latent Gaussian Process Models JMLR 2019
Generalized Maximum Entropy Estimation JMLR 2019
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise JMLR 2019
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2019