Gaussian Process Regression for Groundwater Pollution Prediction
Predicting model posterior distribution with Gaussian Process regression from scratch, which is then applied to an inference problem based on space data.
Hyperparameter Tuning with Constrained Bayesian Optimization
Joint training of model and objective with appropriate acquisition function and constraint satisfaction.
Predicting Uncertainty with Bayesian Neural Networks on MNIST Dataset
Comparing classification uncertainty prediction with DenseNets and Bayesian Neural Networks.
Food Taste Similarity Prediction Based on Images and Human Judgments
Learning image embeddings and distributions given relative distance labels.
Medical Events Prediction with Missing Features and Imbalanced Classification
Predicting orders of medical tests, sepsis, and key vital signs based on incomplete, imbalanced data.