| Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning | Feb 13, 2018 | ManagementSuper-Resolution | CodeCode Available | 0 |
| Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent | Feb 5, 2018 | Uncertainty Quantification | CodeCode Available | 0 |
| Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification | Jan 21, 2018 | Bayesian InferenceDecoder | —Unverified | 0 |
| Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients | Dec 20, 2017 | Stochastic OptimizationUncertainty Quantification | —Unverified | 0 |
| Stochastic reconstruction of an oolitic limestone by generative adversarial networks | Dec 7, 2017 | Image GenerationImage Reconstruction | CodeCode Available | 0 |
| Mondrian Processes for Flow Cytometry Analysis | Nov 21, 2017 | Uncertainty Quantification | —Unverified | 0 |
| A machine learning approach for efficient uncertainty quantification using multiscale methods | Nov 12, 2017 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| An asymptotic analysis of distributed nonparametric methods | Nov 8, 2017 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data | Nov 2, 2017 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement | Oct 14, 2017 | Uncertainty Quantification | —Unverified | 0 |
