| A Closer Look at Disentangling in β-VAE | Dec 11, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Frequentist Consistency of Generalized Variational Inference | Dec 10, 2019 | Variational Inference | —Unverified | 0 |
| Solving Bayesian Inverse Problems via Variational Autoencoders | Dec 5, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression | Dec 5, 2019 | regressionStochastic Optimization | —Unverified | 0 |
| Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning | Dec 4, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Scalable Bayesian Preference Learning for Crowds | Dec 4, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Deep Probabilistic Models to Detect Data Poisoning Attacks | Dec 3, 2019 | Data PoisoningVariational Inference | —Unverified | 0 |
| Stochastic Variational Inference via Upper Bound | Dec 2, 2019 | Variational Inference | —Unverified | 0 |
| Efficient Approximate Inference with Walsh-Hadamard Variational Inference | Nov 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs | Nov 26, 2019 | Knowledge GraphsRepresentation Learning | —Unverified | 0 |
