Variational Inference

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Doubly Semi-Implicit Variational Inference AISTATS 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 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019 Generic Inference in Latent Gaussian Process Models JMLR 2019 GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NeurIPS 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019 Language Modeling with Shared Grammar ACL 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Hierarchical Priors in VAEs NeurIPS 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NeurIPS 2019 Pathwise Derivatives for Multivariate Distributions AISTATS 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019