| Mixture Representation Learning with Coupled Autoencoders | Jul 20, 2020 | Representation LearningVariational Inference | —Unverified | 0 |
| GRADE: Graph Dynamic Embedding | Jul 16, 2020 | Community DetectionDynamic Community Detection | —Unverified | 0 |
| Measurement error models: from nonparametric methods to deep neural networks | Jul 15, 2020 | Efficient Neural Networkregression | —Unverified | 0 |
| State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes | Jul 12, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| VINNAS: Variational Inference-based Neural Network Architecture Search | Jul 12, 2020 | Computational Efficiencyimage-classification | —Unverified | 0 |
| Control as Hybrid Inference | Jul 11, 2020 | continuous-controlContinuous Control | —Unverified | 0 |
| Self-Reflective Variational Autoencoder | Jul 10, 2020 | Variational Inference | —Unverified | 0 |
| Variational Inference with Continuously-Indexed Normalizing Flows | Jul 10, 2020 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule | Jul 9, 2020 | Variational Inference | —Unverified | 0 |
| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Meta-Learning Divergences of Variational Inference | Jul 6, 2020 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 |
| Neural Mixed Counting Models for Dispersed Topic Discovery | Jul 1, 2020 | Variational Inference | —Unverified | 0 |
| Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder | Jul 1, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Learning Sparse Prototypes for Text Generation | Jun 29, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Learning Robot Skills with Temporal Variational Inference | Jun 29, 2020 | Variational Inference | —Unverified | 0 |
| Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows | Jun 28, 2020 | validVariational Inference | CodeCode Available | 0 |
| Variational Orthogonal Features | Jun 23, 2020 | Variational Inference | —Unverified | 0 |
| On the Relationship Between Active Inference and Control as Inference | Jun 23, 2020 | Decision Makingreinforcement-learning | —Unverified | 0 |
| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors | Jun 22, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Isometric Gaussian Process Latent Variable Model for Dissimilarity Data | Jun 21, 2020 | Variational Inference | —Unverified | 0 |
| Calibration of Model Uncertainty for Dropout Variational Inference | Jun 20, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes | Jun 19, 2020 | Continual LearningDecision Making | CodeCode Available | 1 |