| VASE: Variational Assorted Surprise Exploration for Reinforcement Learning | Oct 31, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| Continual Multi-task Gaussian Processes | Oct 31, 2019 | Bayesian InferenceContinual Learning | CodeCode Available | 0 |
| Energy-Inspired Models: Learning with Sampler-Induced Distributions | Oct 31, 2019 | Variational Inference | CodeCode Available | 0 |
| Thompson Sampling via Local Uncertainty | Oct 30, 2019 | Decision MakingMulti-Armed Bandits | CodeCode Available | 0 |
| Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation | Oct 29, 2019 | Variational Inference | —Unverified | 0 |
| Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation | Oct 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Semi-Implicit Stochastic Recurrent Neural Networks | Oct 28, 2019 | Variational Inference | —Unverified | 0 |
| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 |
| Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework | Oct 26, 2019 | Knowledge DistillationVariational Inference | —Unverified | 0 |
| Implicit Posterior Variational Inference for Deep Gaussian Processes | Oct 26, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
