variational inference

Deep Bayesian Natural Language Processing ACL 2019 Deep Gaussian Processes with Importance-Weighted Variational Inference ICML 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 Deep Generative Learning via Variational Gradient Flow ICML 2019 Deep Latent Generative Models for Energy Disaggregation AAAI 2019 Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019 Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019 Deterministic Variational Inference for Robust Bayesian Neural Networks ICLR 2019 Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019 Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019 Discrete Flows: Invertible Generative Models of Discrete Data NeurIPS 2019 Disentangled Variational Representation for Heterogeneous Face Recognition AAAI 2019 Disentangling Disentanglement in Variational Autoencoders ICML 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Diverse Generation for Multi-Agent Sports Games CVPR 2019 Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NeurIPS 2019 Document Informed Neural Autoregressive Topic Models with Distributional Prior AAAI 2019 Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives ICLR 2019 DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019 Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CoRL 2019 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019 Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019 Efficient Inference in Multi-task Cox Process Models AISTATS 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient optimization of loops and limits with randomized telescoping sums ICML 2019