| Scalable Variational Inference for Dynamical Systems | May 19, 2017 | Numerical IntegrationVariational Inference | CodeCode Available | 0 |
| Approximate Bayesian inference as a gauge theory | May 17, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Co-clustering through Optimal Transport | May 17, 2017 | ClusteringVariational Inference | —Unverified | 0 |
| Learning Hard Alignments with Variational Inference | May 16, 2017 | Hard AttentionImage Captioning | —Unverified | 0 |
| Stochastic Divergence Minimization for Biterm Topic Model | May 1, 2017 | modelTopic Models | —Unverified | 0 |
| Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning | May 1, 2017 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Importance Sampled Stochastic Optimization for Variational Inference | Apr 19, 2017 | Probabilistic ProgrammingStochastic Optimization | —Unverified | 0 |
| Multi-View Image Generation from a Single-View | Apr 17, 2017 | Image GenerationVariational Inference | —Unverified | 0 |
| Parametric Gaussian Process Regression for Big Data | Apr 11, 2017 | Gaussian Processesregression | CodeCode Available | 0 |
| Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference | Mar 27, 2017 | Variational Inference | CodeCode Available | 0 |
| BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification | Mar 24, 2017 | DiversityVariational Inference | CodeCode Available | 0 |
| Nonparametric Variational Auto-encoders for Hierarchical Representation Learning | Mar 21, 2017 | ClusteringRepresentation Learning | —Unverified | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 |
| Matched bipartite block model with covariates | Mar 15, 2017 | ClusteringCommunity Detection | —Unverified | 0 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 |
| Dropout Inference in Bayesian Neural Networks with Alpha-divergences | Mar 8, 2017 | Variational Inference | CodeCode Available | 0 |
| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 |
| Hierarchical Implicit Models and Likelihood-Free Variational Inference | Feb 28, 2017 | Generative Adversarial NetworkText Generation | —Unverified | 0 |
| Dynamic Word Embeddings | Feb 27, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Semi-parametric Network Structure Discovery Models | Feb 27, 2017 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Variational Inference using Implicit Distributions | Feb 27, 2017 | DenoisingDensity Ratio Estimation | —Unverified | 0 |
| Scalable Inference for Nested Chinese Restaurant Process Topic Models | Feb 23, 2017 | Topic ModelsVariational Inference | —Unverified | 0 |
| Generative Temporal Models with Memory | Feb 15, 2017 | Variational Inference | —Unverified | 0 |
| Variational Policy for Guiding Point Processes | Jan 30, 2017 | Point ProcessesVariational Inference | —Unverified | 0 |
| Deep Probabilistic Programming | Jan 13, 2017 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
