Bayesian & Probabilistic

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019 Replica Conditional Sequential Monte Carlo ICML 2019 Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NeurIPS 2019 Reversible Jump Probabilistic Programming AISTATS 2019 Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties RSS 2019 Robust Bayesian and Light Neural Networks for Voice Spoofing Detection Interspeech 2019 Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise JMLR 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Robust Variational Bayesian Point Set Registration ICCV 2019 Rotation Invariant Householder Parameterization for Bayesian PCA ICML 2019 Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019 Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging 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 Deep Generative Relational Model with High-Order Node Dependence NeurIPS 2019 Scalable High-Order Gaussian Process Regression AISTATS 2019 Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019 Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NeurIPS 2019 Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NeurIPS 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019 Self-Adversarially Learned Bayesian Sampling AAAI 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model Interspeech 2019 Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019