| Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables | Jun 11, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Coupled Variational Recurrent Collaborative Filtering | Jun 11, 2019 | Collaborative FilteringRecommendation Systems | CodeCode Available | 0 |
| Stochastic Neural Network with Kronecker Flow | Jun 10, 2019 | Multi-Armed BanditsThompson Sampling | —Unverified | 0 |
| Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models | Jun 10, 2019 | Bayesian InferenceDiscrete Choice Models | —Unverified | 0 |
| Neural Spline Flows | Jun 10, 2019 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Note on the bias and variance of variational inference | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability | Jun 9, 2019 | Variational Inference | CodeCode Available | 0 |
| A Variant of Gaussian Process Dynamical Systems | Jun 9, 2019 | Variational Inference | —Unverified | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
