variational inference

Stein Variational Gradient Descent Without Gradient ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018 Stochastic Nonparametric Event-Tensor Decomposition NeurIPS 2018 Stochastic Variational Video Prediction ICLR 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Streamlining Variational Inference for Constraint Satisfaction Problems NeurIPS 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction NeurIPS 2018 Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NeurIPS 2018 Using Large Ensembles of Control Variates for Variational Inference NeurIPS 2018 VAE with a VampPrior AISTATS 2018 Variational Bayesian dropout: pitfalls and fixes ICML 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Variational Continual Learning ICLR 2018 Variational Fourier Features for Gaussian Processes JMLR 2018 Variational Inference and Deep Generative Models ACL 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Variational Inference based on Robust Divergences AISTATS 2018