| Trust-Region Variational Inference with Gaussian Mixture Models | Jul 10, 2019 | Variational Inference | —Unverified | 0 |
| Interpretable Dynamics Models for Data-Efficient Reinforcement Learning | Jul 10, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data | Jul 8, 2019 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Variational Inference MPC for Bayesian Model-based Reinforcement Learning | Jul 8, 2019 | Bayesian InferenceModel-based Reinforcement Learning | —Unverified | 0 |
| Neuron ranking -- an informed way to condense convolutional neural networks architecture | Jul 3, 2019 | Variational Inference | —Unverified | 0 |
| Learning GPLVM with arbitrary kernels using the unscented transformation | Jul 3, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Deep Bayesian Natural Language Processing | Jul 1, 2019 | Caption GenerationClustering | —Unverified | 0 |
| Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning | Jul 1, 2019 | Continual LearningVariational Inference | CodeCode Available | 0 |
| The Thermodynamic Variational Objective | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 |
