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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem 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
Assessing Idiosyncrasies in a Bayesian Model of Speech Communication 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
Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints INTERSPEECH 2016
Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition INTERSPEECH 2016
Herded Gibbs Sampling JMLR 2016
A Gibbs Sampler for Learning DAGs JMLR 2016
BayesPy: Variational Bayesian Inference in Python JMLR 2016
Causal Inference through a Witness Protection Program JMLR 2016
Structure Discovery in Bayesian Networks by Sampling Partial Orders JMLR 2016
An Information-Theoretic Analysis of Thompson 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
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016
Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016