| Generative Models for Learning from Crowds | Jun 13, 2017 | Variational Inference | —Unverified | 0 |
| Fast Black-box Variational Inference through Stochastic Trust-Region Optimization | Jun 7, 2017 | Variational Inference | —Unverified | 0 |
| Discovering Discrete Latent Topics with Neural Variational Inference | Jun 1, 2017 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Latent Intention Dialogue Models | May 29, 2017 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Kernel Implicit Variational Inference | May 29, 2017 | General Classificationregression | —Unverified | 0 |
| Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | May 27, 2017 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Neural Models for Documents with Metadata | May 25, 2017 | ArticlesTopic Models | CodeCode Available | 0 |
| Proximity Variational Inference | May 24, 2017 | Variational Inference | CodeCode Available | 0 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 |
| Reducing Reparameterization Gradient Variance | May 22, 2017 | Variational Inference | CodeCode Available | 0 |
| AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms | May 19, 2017 | Variational Inference | —Unverified | 0 |
| Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling | May 19, 2017 | Variational Inference | CodeCode Available | 0 |
| Scalable Variational Inference for Dynamical Systems | May 19, 2017 | Numerical IntegrationVariational Inference | CodeCode Available | 0 |
| Co-clustering through Optimal Transport | May 17, 2017 | ClusteringVariational Inference | —Unverified | 0 |
| Approximate Bayesian inference as a gauge theory | May 17, 2017 | Bayesian InferenceVariational 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 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 |
