Variational Inference

Monoaural Audio Source Separation Using Variational Autoencoders Interspeech 2018 Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach ACML 2018 NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018 Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018 Neural Models for Documents with Metadata ACL 2018 Neural Particle Smoothing for Sampling from Conditional Sequence Models NAACL 2018 On Nesting Monte Carlo Estimators ICML 2018 On Statistical Optimality of Variational Bayes AISTATS 2018 On the challenges of learning with inference networks on sparse, high-dimensional data AISTATS 2018 Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Provable Variational Inference for Constrained Log-Submodular Models NeurIPS 2018 Proximity Variational Inference AISTATS 2018 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Simple, Distributed, and Accelerated Probabilistic Programming NeurIPS 2018 State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018 Stein Variational Gradient Descent Without Gradient ICML 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 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 VAE with a VampPrior AISTATS 2018 Variational Fourier Features for Gaussian Processes JMLR 2018