| Physics-informed deep generative models | Dec 9, 2018 | Variational Inference | —Unverified | 0 |
| Efficient transfer learning and online adaptation with latent variable models for continuous control | Dec 8, 2018 | Bayesian Inferencecontinuous-control | —Unverified | 0 |
| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 |
| Knowing what you know in brain segmentation using Bayesian deep neural networks | Dec 3, 2018 | Brain SegmentationVariational Inference | CodeCode Available | 0 |
| Coupled Variational Bayes via Optimization Embedding | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Provable Variational Inference for Constrained Log-Submodular Models | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Distributed Multitask Reinforcement Learning with Quadratic Convergence | Dec 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Dec 1, 2018 | Variational Inference | CodeCode Available | 0 |
| Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems | Dec 1, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
