Bayesian Inference

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019 Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Reliable training and estimation of variance networks NeurIPS 2019 Reparameterizing Distributions on Lie Groups AISTATS 2019 Rethinking the CSC Model for Natural Images NeurIPS 2019 Reversible Jump Probabilistic Programming AISTATS 2019 Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling NAACL 2019 Robust Bayesian and Light Neural Networks for Voice Spoofing Detection Interspeech 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Robust Person Re-Identification by Modelling Feature Uncertainty ICCV 2019 Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes CVPR 2019 Robust Variational Bayesian Point Set Registration ICCV 2019 Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning IJCAI 2019 Safe Exploration for Interactive Machine Learning NeurIPS 2019 Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019 Sample Adaptive MCMC NeurIPS 2019 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019 Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019 Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NeurIPS 2019 Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NeurIPS 2019 Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019 Scalable Bayesian Non-linear Matrix Completion IJCAI 2019 Scalable Collapsed Inference for High-Dimensional Topic Models NAACL 2019