| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift | Jun 7, 2019 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations | Jun 7, 2019 | Variational Inference | —Unverified | 0 |
| Amortized Inference of Variational Bounds for Learning Noisy-OR | Jun 6, 2019 | Variational Inference | —Unverified | 0 |
| Practical Deep Learning with Bayesian Principles | Jun 6, 2019 | Continual LearningData Augmentation | CodeCode Available | 0 |
| Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings | Jun 5, 2019 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Universal Boosting Variational Inference | Jun 4, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning | Jun 3, 2019 | Bayesian OptimisationBIG-bench Machine Learning | —Unverified | 0 |
| Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process | Jun 1, 2019 | Document ClassificationGeneral Classification | —Unverified | 0 |
