| 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 |
