| Variational autoencoders trained with q-deformed lower bounds | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Understanding Posterior Collapse in Generative Latent Variable Models | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo | Mar 27, 2019 | Dimensionality Reductionparameter estimation | —Unverified | 0 |
| Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder | Mar 25, 2019 | DiversityInformation Retrieval | —Unverified | 0 |
| Variational Inference with Latent Space Quantization for Adversarial Resilience | Mar 24, 2019 | Quantizationvalid | CodeCode Available | 0 |
| Combining Model and Parameter Uncertainty in Bayesian Neural Networks | Mar 18, 2019 | Bayesian InferenceModel Selection | CodeCode Available | 0 |
| Approximating exponential family models (not single distributions) with a two-network architecture | Mar 18, 2019 | General ClassificationVariational Inference | —Unverified | 0 |
| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| Learning proposals for sequential importance samplers using reinforced variational inference | Mar 16, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
