Variational Inference

Point process latent variable models of larval zebrafish behavior NeurIPS 2018 Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018 Provable Variational Inference for Constrained Log-Submodular Models NeurIPS 2018 Proximity Variational Inference AISTATS 2018 Quasi-Monte Carlo Variational Inference ICML 2018 RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018 Reparameterization Gradient for Non-differentiable Models NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Scalable Factorized Hierarchical Variational Autoencoder Training Interspeech 2018 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Semantic Interpolation in Implicit Models ICLR 2018 Semi-Amortized Variational Autoencoders ICML 2018 Semi-Implicit Variational Inference ICML 2018 Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018 Simple, Distributed, and Accelerated Probabilistic Programming NeurIPS 2018 Spherical Latent Spaces for Stable Variational Autoencoders EMNLP 2018 Stein Variational Gradient Descent Without Gradient ICML 2018 Stochastic Variational Video Prediction ICLR 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ACL 2018 Student-t Variational Autoencoder for Robust Density Estimation IJCAI 2018 Syntax-Directed Variational Autoencoder for Structured Data ICLR 2018 Tighter Variational Bounds are Not Necessarily Better ICML 2018 Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron ICML 2018