| GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models | Nov 5, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Statistical Inference in Mean-Field Variational Bayes | Nov 4, 2019 | Variational Inference | —Unverified | 0 |
| Amortized Population Gibbs Samplers with Neural Sufficient Statistics | Nov 4, 2019 | Variational Inference | CodeCode Available | 0 |
| Neural Topic Model with Reinforcement Learning | Nov 1, 2019 | modelreinforcement-learning | —Unverified | 0 |
| Unsupervised Neural Machine Translation with Future Rewarding | Nov 1, 2019 | DecoderMachine Translation | —Unverified | 0 |
| 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 |
| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales | Oct 23, 2019 | MuJoCoVariational Inference | CodeCode Available | 0 |
| Stabilising priors for robust Bayesian deep learning | Oct 23, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Single Episode Policy Transfer in Reinforcement Learning | Oct 17, 2019 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Scalable Gradients and Variational Inference for Stochastic Differential Equations | Oct 16, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 |
| Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Structured Semi-Implicit Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
