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Probabilistic Modeling

2,599 papers

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Papers

The Sum-Product Theorem: A Foundation for Learning Tractable Models ICML 2016
Isotonic Hawkes Processes ICML 2016
Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016
Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Energetic Natural Gradient Descent ICML 2016
PHOG: Probabilistic Model for Code ICML 2016
Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features INTERSPEECH 2016
Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis INTERSPEECH 2016
Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification INTERSPEECH 2016
On the Importance of Efficient Transition Modeling for Speaker Diarization INTERSPEECH 2016
HMM-Based Non-Native Accent Assessment Using Posterior Features INTERSPEECH 2016
Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition INTERSPEECH 2016
Herded Gibbs Sampling JMLR 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Stable Graphical Models JMLR 2016
Bayesian group factor analysis with structured sparsity JMLR 2016
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
Learning Planar Ising Models JMLR 2016