| Sliced Score Matching: A Scalable Approach to Density and Score Estimation | May 17, 2019 | Variational Inference | CodeCode Available | 1 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| 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 |
| Hierarchical Importance Weighted Autoencoders | May 13, 2019 | Variational Inference | CodeCode Available | 0 |
| Variational inference for neural network matrix factorization and its application to stochastic blockmodeling | May 11, 2019 | Variational Inference | —Unverified | 0 |
| A Contrastive Divergence for Combining Variational Inference and MCMC | May 10, 2019 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Random Function Priors for Correlation Modeling | May 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Importance Weighted Hierarchical Variational Inference | May 8, 2019 | Variational Inference | CodeCode Available | 0 |
