| Approximate Inference for Constructing Astronomical Catalogs from Images | Feb 28, 2018 | CPUVariational Inference | CodeCode Available | 0 |
| 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 |
| Heron Inference for Bayesian Graphical Models | Feb 19, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Distribution Matching in Variational Inference | Feb 19, 2018 | Variational Inference | —Unverified | 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 |
| Yes, but Did It Work?: Evaluating Variational Inference | Feb 7, 2018 | DiagnosticVariational Inference | CodeCode Available | 0 |
| Semi-Amortized Variational Autoencoders | Feb 7, 2018 | Text GenerationVariational Inference | CodeCode Available | 0 |
| VIBNN: Hardware Acceleration of Bayesian Neural Networks | Feb 2, 2018 | Small Data Image ClassificationVariational Inference | —Unverified | 0 |
| An Instability in Variational Inference for Topic Models | Feb 2, 2018 | ArticlesTopic Models | —Unverified | 0 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data | Jan 22, 2018 | counterfactualVariational Inference | —Unverified | 0 |
| Overpruning in Variational Bayesian Neural Networks | Jan 18, 2018 | Variational Inference | —Unverified | 0 |
| Topic Modeling on Health Journals with Regularized Variational Inference | Jan 15, 2018 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Asynchronous Stochastic Variational Inference | Jan 12, 2018 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Worst-case Optimal Submodular Extensions for Marginal Estimation | Jan 10, 2018 | Variational Inference | —Unverified | 0 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 |
| DropMax: Adaptive Stochastic Softmax | Jan 1, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| An information-theoretic analysis of deep latent-variable models | Jan 1, 2018 | Variational Inference | —Unverified | 0 |
| Structured Exploration via Hierarchical Variational Policy Networks | Jan 1, 2018 | Reinforcement LearningVariational Inference | —Unverified | 0 |
| Discrete-Valued Neural Networks Using Variational Inference | Jan 1, 2018 | QuantizationVariational Inference | —Unverified | 0 |
| Variational Network Quantization | Jan 1, 2018 | QuantizationVariational Inference | —Unverified | 0 |
