Bayesian & Probabilistic

Curious iLQR: Resolving Uncertainty in Model-based RL CoRL 2019 Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Deep Bayesian Natural Language Processing ACL 2019 Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd AAAI 2019 Deep Convolutional Networks as shallow Gaussian Processes ICLR 2019 Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning IJCAI 2019 Deep learning with differential Gaussian process flows AISTATS 2019 Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019 Dense Depth Posterior (DDP) From Single Image and Sparse Range CVPR 2019 Density Matching for Bilingual Word Embedding NAACL 2019 Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm ICML 2019 Differentially Private Bayesian Linear Regression NeurIPS 2019 Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019 Dirichlet Simplex Nest and Geometric Inference ICML 2019 Discovering Context Effects from Raw Choice Data ICML 2019 Discovering Latent Covariance Structures for Multiple Time Series ICML 2019 Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ICML 2019 Distribution calibration for regression ICML 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019 Dynamically Personalized Detection of Hemorrhage MLHC 2019 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019 Efficient Bayesian Optimization for Target Vector Estimation AISTATS 2019