uncertainty quantification

An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression Interspeech 2017 Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017 Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning IJCAI 2017 Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming IJCAI 2017 Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017 Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Random Feature Expansions for Deep Gaussian Processes ICML 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NeurIPS 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 DISCO Nets : DISsimilarity COefficients Networks NeurIPS 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Probabilistic Approximate Least-Squares AISTATS 2016 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Robust Trajectory Optimization Under Frictional Contact with Iterative Learning RSS 2015 Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014