| A Flexible Generative Framework for Graph-based Semi-supervised Learning | May 26, 2019 | Missing LabelsVariational Inference | CodeCode Available | 0 |
| Variational Inference for Sparse Gaussian Process Modulated Hawkes Process | May 25, 2019 | Model OptimizationModel Selection | CodeCode Available | 0 |
| Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit | May 23, 2019 | Variational Inference | —Unverified | 0 |
| Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation | May 23, 2019 | Bayesian InferenceData Augmentation | CodeCode Available | 0 |
| Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders | May 21, 2019 | Variational Inference | —Unverified | 0 |
| Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models | May 20, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| MaxEntropy Pursuit Variational Inference | May 20, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| Efficient Optimization of Loops and Limits with Randomized Telescoping Sums | May 16, 2019 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| Moment-Based Variational Inference for Markov Jump Processes | May 14, 2019 | Variational Inference | —Unverified | 0 |
| Deep Gaussian Processes with Importance-Weighted Variational Inference | May 14, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
