variational inference

Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019 Auxiliary Variational MCMC ICLR 2019 A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification NAACL 2019 A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019 AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations ICCV 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Bayesian Deep Collaborative Matrix Factorization AAAI 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian Learning of Neural Network Architectures AISTATS 2019 Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019 Block Neural Autoregressive Flow UAI 2019 Boosted Density Estimation Remastered ICML 2019 Caveats for information bottleneck in deterministic scenarios ICLR 2019 Combining Generative and Discriminative Models for Hybrid Inference NeurIPS 2019 Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models Interspeech 2019 CompareLDA: A Topic Model for Document Comparison AAAI 2019 Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019 Conditional Expectation Propagation UAI 2019 Conditional Structure Generation through Graph Variational Generative Adversarial Nets NeurIPS 2019 Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty IJCAI 2019 Copula-like Variational Inference NeurIPS 2019 Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model JMLR 2019