| ADMM-based Networked Stochastic Variational Inference | Feb 27, 2018 | ArticlesDocument Classification | —Unverified | 0 |
| Learning Causally-Generated Stationary Time Series | Feb 22, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Variational Inference for Policy Gradient | Feb 21, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Distribution Matching in Variational Inference | Feb 19, 2018 | Variational Inference | —Unverified | 0 |
| Heron Inference for Bayesian Graphical Models | Feb 19, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Constraining the Dynamics of Deep Probabilistic Models | Feb 15, 2018 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Feb 12, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 |
| Black-box Variational Inference for Stochastic Differential Equations | Feb 9, 2018 | Variational Inference | CodeCode Available | 0 |
| Semi-Amortized Variational Autoencoders | Feb 7, 2018 | Text GenerationVariational Inference | CodeCode Available | 0 |
| Yes, but Did It Work?: Evaluating Variational Inference | Feb 7, 2018 | DiagnosticVariational Inference | CodeCode Available | 0 |
