| Amortized Population Gibbs Samplers with Neural Sufficient Statistics | Nov 4, 2019 | Variational Inference | CodeCode Available | 0 |
| Unsupervised Neural Machine Translation with Future Rewarding | Nov 1, 2019 | DecoderMachine Translation | —Unverified | 0 |
| Neural Topic Model with Reinforcement Learning | Nov 1, 2019 | modelreinforcement-learning | —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 |
| VASE: Variational Assorted Surprise Exploration for Reinforcement Learning | Oct 31, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| Thompson Sampling via Local Uncertainty | Oct 30, 2019 | Decision MakingMulti-Armed Bandits | CodeCode Available | 0 |
| Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation | Oct 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation | Oct 29, 2019 | Variational Inference | —Unverified | 0 |
| Semi-Implicit Stochastic Recurrent Neural Networks | Oct 28, 2019 | Variational Inference | —Unverified | 0 |
