| Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior | Sep 5, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Online Estimation and Community Detection of Network Point Processes for Event Streams | Sep 3, 2020 | Community DetectionOnline Community Detection | CodeCode Available | 0 |
| Quasi-symplectic Langevin Variational Autoencoder | Sep 2, 2020 | Variational Inference | —Unverified | 0 |
| Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios | Sep 2, 2020 | Object CategorizationVariational Inference | —Unverified | 0 |
| Variational Mixture of Normalizing Flows | Sep 1, 2020 | ClusteringDensity Estimation | —Unverified | 0 |
| Stochastic Graph Recurrent Neural Network | Sep 1, 2020 | Representation LearningVariational Inference | CodeCode Available | 0 |
| Robust, Accurate Stochastic Optimization for Variational Inference | Sep 1, 2020 | DiagnosticStochastic Optimization | —Unverified | 0 |
| β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers | Aug 31, 2020 | Bayesian InferenceData Summarization | CodeCode Available | 0 |
| Modulating Scalable Gaussian Processes for Expressive Statistical Learning | Aug 29, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Loss convergence in a causal Bayesian neural network of retail firm performance | Aug 29, 2020 | Variational Inference | CodeCode Available | 0 |
