| An Instability in Variational Inference for Topic Models | Feb 2, 2018 | ArticlesTopic Models | —Unverified | 0 |
| VIBNN: Hardware Acceleration of Bayesian Neural Networks | Feb 2, 2018 | Small Data Image ClassificationVariational Inference | —Unverified | 0 |
| 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 |
| Learning an Embedding Space for Transferable Robot Skills | Jan 1, 2018 | reinforcement-learningReinforcement Learning | —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 |
| 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 |
| Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference | Jan 1, 2018 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Variational Network Quantization | Jan 1, 2018 | QuantizationVariational Inference | —Unverified | 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 |
| Noisy Natural Gradient as Variational Inference | Dec 6, 2017 | Active LearningEfficient Exploration | CodeCode Available | 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 |
| 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 |
| Deep Dynamic Poisson Factorization Model | Dec 1, 2017 | modelVariational 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 |
| Tomography of the London Underground: a Scalable Model for Origin-Destination Data | Dec 1, 2017 | Variational Inference | —Unverified | 0 |
