| Learning an Embedding Space for Transferable Robot Skills | Jan 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference | Jan 1, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| DropMax: Adaptive Variational Softmax | Dec 21, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational Inference | CodeCode Available | 0 |
| Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization | Dec 9, 2017 | Bayesian OptimizationVariational Inference | —Unverified | 0 |
| Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization | Dec 6, 2017 | Variational Inference | CodeCode Available | 0 |
| Noisy Natural Gradient as Variational Inference | Dec 6, 2017 | Active LearningEfficient Exploration | CodeCode Available | 0 |
| Vprop: Variational Inference using RMSprop | Dec 4, 2017 | Deep LearningVariational Inference | —Unverified | 0 |
| Collapsed variational Bayes for Markov jump processes | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 |
| Tomography of the London Underground: a Scalable Model for Origin-Destination Data | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
| Variational Inference via Upper Bound Minimization | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
| Differentiable Learning of Submodular Models | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
| Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models | Dec 1, 2017 | Gaussian ProcessesTopic Models | —Unverified | 0 |
| Deep Dynamic Poisson Factorization Model | Dec 1, 2017 | modelVariational Inference | —Unverified | 0 |
| Variational Deep Q Network | Nov 30, 2017 | Efficient ExplorationVariational Inference | CodeCode Available | 0 |
| The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks | Nov 29, 2017 | ClusteringStochastic Block Model | —Unverified | 0 |
| On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example | Nov 29, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Variational Inference for Gaussian Process Models with Linear Complexity | Nov 28, 2017 | Variational Inference | —Unverified | 0 |
| Diversity-Promoting Bayesian Learning of Latent Variable Models | Nov 23, 2017 | DiversityMixture-of-Experts | —Unverified | 0 |
| Asymmetric Variational Autoencoders | Nov 20, 2017 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Z-Forcing: Training Stochastic Recurrent Networks | Nov 15, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Advances in Variational Inference | Nov 15, 2017 | Variational Inference | —Unverified | 0 |
| Variational Adaptive-Newton Method for Explorative Learning | Nov 15, 2017 | Active Learningreinforcement-learning | —Unverified | 0 |
| Message Passing Stein Variational Gradient Descent | Nov 13, 2017 | Bayesian InferenceVariational Inference | —Unverified | 0 |
