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Bayesian Inference

4,821 papers

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Papers

Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition INTERSPEECH 2020
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows INTERSPEECH 2020
Ensemble Approaches for Uncertainty in Spoken Language Assessment INTERSPEECH 2020
Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder INTERSPEECH 2020
Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization INTERSPEECH 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Quantile Graphical Models: a Bayesian Approach JMLR 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2020
Bayesian Model Selection with Graph Structured Sparsity JMLR 2020
Bayesian Closed Surface Fitting Through Tensor Products JMLR 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Convergence of Sparse Variational Inference in Gaussian Processes Regression JMLR 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020
Asymptotic Consistency of $\alpha$-{R}ényi-Approximate Posteriors JMLR 2020
Streamlined Variational Inference with Higher Level Random Effects JMLR 2020