| Learning GPLVM with arbitrary kernels using the unscented transformation | Jul 3, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Deep Bayesian Natural Language Processing | Jul 1, 2019 | Caption GenerationClustering | —Unverified | 0 |
| Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning | Jul 1, 2019 | Continual LearningVariational Inference | CodeCode Available | 0 |
| The Thermodynamic Variational Objective | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
| 'In-Between' Uncertainty in Bayesian Neural Networks | Jun 27, 2019 | Active LearningBayesian Optimisation | —Unverified | 0 |
| An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks | Jun 25, 2019 | Variational Inference | CodeCode Available | 0 |
| Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation | Jun 24, 2019 | Variational Inference | —Unverified | 0 |
| Compound Probabilistic Context-Free Grammars for Grammar Induction | Jun 24, 2019 | Constituency Grammar InductionSentence | CodeCode Available | 0 |
| Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks | Jun 23, 2019 | Bayesian InferenceRobust Speech Recognition | CodeCode Available | 0 |
| Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes | Jun 22, 2019 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| Black-Box Inference for Non-Linear Latent Force Models | Jun 21, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Disentangled Skill Embeddings for Reinforcement Learning | Jun 21, 2019 | Hierarchical Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Provable Gradient Variance Guarantees for Black-Box Variational Inference | Jun 19, 2019 | Variational Inference | —Unverified | 0 |
| vGraph: A Generative Model for Joint Community Detection and Node Representation Learning | Jun 18, 2019 | Community DetectionRepresentation Learning | CodeCode Available | 0 |
| Variational Inference with Numerical Derivatives: variance reduction through coupling | Jun 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Analyses of Multi-collection Corpora via Compound Topic Modeling | Jun 17, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Multi-Adversarial Variational Autoencoder Networks | Jun 14, 2019 | ClusteringGeneral Classification | —Unverified | 0 |
| Variational Federated Multi-Task Learning | Jun 14, 2019 | Federated LearningMulti-Task Learning | —Unverified | 0 |
| Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models | Jun 13, 2019 | Variational Inference | CodeCode Available | 0 |
| Reweighted Expectation Maximization | Jun 13, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Learning Deep Generative Models with Annealed Importance Sampling | Jun 12, 2019 | Variational Inference | CodeCode Available | 0 |
| Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings | Jun 12, 2019 | Knowledge Graph EmbeddingsKnowledge Graphs | CodeCode Available | 0 |
| Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes | Jun 12, 2019 | Activity RecognitionAudio Classification | CodeCode Available | 0 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 |
