| '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 |
| Compound Probabilistic Context-Free Grammars for Grammar Induction | Jun 24, 2019 | Constituency Grammar InductionSentence | CodeCode Available | 0 |
| Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation | Jun 24, 2019 | Variational Inference | —Unverified | 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 |
| Disentangled Skill Embeddings for Reinforcement Learning | Jun 21, 2019 | Hierarchical Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Black-Box Inference for Non-Linear Latent Force Models | Jun 21, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Provable Gradient Variance Guarantees for Black-Box Variational Inference | Jun 19, 2019 | Variational Inference | —Unverified | 0 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Jun 19, 2019 | Dependency ParsingSemantic Dependency Parsing | CodeCode Available | 1 |
