| Unconstrained Monotonic Neural Networks | Aug 14, 2019 | Density EstimationVariational Inference | CodeCode Available | 0 |
| To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics | Aug 11, 2019 | Image ForensicsRepresentation Learning | —Unverified | 0 |
| Convergence Rates of Variational Inference in Sparse Deep Learning | Aug 9, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Probabilistic Models with Deep Neural Networks | Aug 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks | Aug 1, 2019 | DecoderLanguage Modeling | —Unverified | 0 |
| Uncertainty in Model-Agnostic Meta-Learning using Variational Inference | Jul 27, 2019 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| On importance-weighted autoencoders | Jul 24, 2019 | Variational Inference | —Unverified | 0 |
| Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function | Jul 21, 2019 | Variational Inference | —Unverified | 0 |
| Towards Verified Stochastic Variational Inference for Probabilistic Programs | Jul 20, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction | Jul 19, 2019 | Generative Adversarial NetworkPrediction | —Unverified | 0 |
| Subspace Inference for Bayesian Deep Learning | Jul 17, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| The Dynamic Embedded Topic Model | Jul 12, 2019 | Articlesmodel | CodeCode Available | 0 |
| Interpretable Dynamics Models for Data-Efficient Reinforcement Learning | Jul 10, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Trust-Region Variational Inference with Gaussian Mixture Models | Jul 10, 2019 | Variational Inference | —Unverified | 0 |
| Topic Modeling in Embedding Spaces | Jul 8, 2019 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| 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 |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Jun 28, 2019 | Point Cloud GenerationVariational Inference | CodeCode Available | 2 |
