| 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 |
