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Bayesian Inference

5,566 papers

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Papers

Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors INTERSPEECH 2018
Multiple Concurrent Sound Source Tracking Based on Observation-Guided Adaptive Particle Filter INTERSPEECH 2018
Subband Weighting for Binaural Speech Source Localization INTERSPEECH 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018
Global SNR Estimation of Speech Signals Using Entropy and Uncertainty Estimates from Dropout Networks INTERSPEECH 2018
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. INTERSPEECH 2018
Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge INTERSPEECH 2018
Lattice-free State-level Minimum Bayes Risk Training of Acoustic Models INTERSPEECH 2018
Patient Privacy in Paralinguistic Tasks INTERSPEECH 2018
COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning INTERSPEECH 2018
Variational Fourier Features for Gaussian Processes JMLR 2018
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018
Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression JMLR 2018
Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018
Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018
ELFI: Engine for Likelihood-Free Inference JMLR 2018
Covariances, Robustness, and Variational Bayes JMLR 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018
Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018
RankME: Reliable Human Ratings for Natural Language Generation NAACL 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018