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Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
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Analyzing Uncertainty in Neural Machine Translation
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Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
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Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

Analyzing Uncertainty in Neural Machine Translation

Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control