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Bayesian Inference

5,566 papers

Papers per year

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Papers

Variational Recurrent Neural Networks for Speech Separation INTERSPEECH 2017
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression INTERSPEECH 2017
Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs INTERSPEECH 2017
A Generative Model for Score Normalization in Speaker Recognition INTERSPEECH 2017
Gain Compensation for Fast i-Vector Extraction Over Short Duration INTERSPEECH 2017
Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification INTERSPEECH 2017
Subband Selection for Binaural Speech Source Localization INTERSPEECH 2017
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text INTERSPEECH 2017
Principles for Learning Controllable TTS from Annotated and Latent Variation INTERSPEECH 2017
Predicting Head Pose from Speech with a Conditional Variational Autoencoder INTERSPEECH 2017
Averaged Collapsed Variational Bayes Inference JMLR 2017
Improving Variational Methods via Pairwise Linear Response Identities JMLR 2017
On Perturbed Proximal Gradient Algorithms JMLR 2017
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
Refinery: An Open Source Topic Modeling Web Platform JMLR 2017
Automatic Differentiation Variational Inference JMLR 2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017
Online Bayesian Passive-Aggressive Learning JMLR 2017
GPflow: A Gaussian Process Library using TensorFlow JMLR 2017
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
On Markov chain Monte Carlo methods for tall data JMLR 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017