| Deep Gaussian Processes with Importance-Weighted Variational Inference | May 14, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| Deep Gaussian Processes for Air Quality Inference | Nov 18, 2022 | Air Quality InferenceGaussian Processes | CodeCode Available | 0 |
| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Variational Latent Branching Model for Off-Policy Evaluation | Jan 28, 2023 | modelOff-policy evaluation | CodeCode Available | 0 |
| Unbiased Implicit Variational Inference | Aug 6, 2018 | regressionVariational Inference | CodeCode Available | 0 |
| GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model | Oct 1, 2018 | Recommendation SystemsTopic Models | CodeCode Available | 0 |
| Graphite: Iterative Generative Modeling of Graphs | Mar 28, 2018 | Density EstimationGeneral Classification | CodeCode Available | 0 |
| Uncertainty-Aware Attention for Reliable Interpretation and Prediction | May 24, 2018 | PredictionVariational Inference | CodeCode Available | 0 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 |
