conftrace_

bayesian neural network

260 papers

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Also known as

BNN

Co-occurring keywords · papers mentioning both

variational inference (99) uncertainty quantification (74) uncertainty estimation (29) gaussian process (27) posterior distribution (19) markov chain monte carlo (18) out-of-distribution detection (16) posterior approximation (15) bayesian inference (14) epistemic uncertainty (12)

Papers

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NeurIPS 2016 Rényi Divergence Variational Inference NeurIPS 2016 Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016 VIME: Variational Information Maximizing Exploration NeurIPS 2016 Bayesian dark knowledge NeurIPS 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015