| Variational Inference with Latent Space Quantization for Adversarial Resilience | Mar 24, 2019 | Quantizationvalid | CodeCode Available | 0 |
| Combining Model and Parameter Uncertainty in Bayesian Neural Networks | Mar 18, 2019 | Bayesian InferenceModel Selection | CodeCode Available | 0 |
| Approximating exponential family models (not single distributions) with a two-network architecture | Mar 18, 2019 | General ClassificationVariational Inference | —Unverified | 0 |
| Deep Gaussian Processes for Multi-fidelity Modeling | Mar 18, 2019 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| Learning proposals for sequential importance samplers using reinforced variational inference | Mar 16, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Variational Bayesian Optimal Experimental Design | Mar 13, 2019 | Experimental DesignVariational Inference | CodeCode Available | 0 |
| Elements of Sequential Monte Carlo | Mar 12, 2019 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations | Mar 10, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes | Mar 9, 2019 | Variational Inference | —Unverified | 0 |
| NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport | Mar 9, 2019 | Variational Inference | —Unverified | 0 |
| The Variational Predictive Natural Gradient | Mar 7, 2019 | General ClassificationVariational Inference | CodeCode Available | 0 |
| Theoretical guarantees for sampling and inference in generative models with latent diffusions | Mar 5, 2019 | Variational Inference | —Unverified | 0 |
| Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future | Mar 5, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
| Multi-Object Representation Learning with Iterative Variational Inference | Mar 1, 2019 | ObjectRepresentation Learning | CodeCode Available | 0 |
| Training Variational Autoencoders with Buffered Stochastic Variational Inference | Feb 27, 2019 | Variational Inference | —Unverified | 0 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 |
| Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era | Feb 26, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Variational Inference to Measure Model Uncertainty in Deep Neural Networks | Feb 26, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Feb 23, 2019 | Decision MakingDialogue Generation | CodeCode Available | 0 |
| Where Do Human Heuristics Come From? | Feb 20, 2019 | Decision MakingMeta-Learning | —Unverified | 0 |
| Differentially Private Continual Learning | Feb 18, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models | Feb 13, 2019 | Variational Inference | —Unverified | 0 |
| Gaussian Mean Field Regularizes by Limiting Learned Information | Feb 12, 2019 | Variational Inference | —Unverified | 0 |
| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
