Interdisciplinary faculty build data science future in new institute
The IFDS will play a key role in the future of data science, developing fundamental techniques for handling increasingly massive data sets in shorter times.
The IFDS will play a key role in the future of data science, developing fundamental techniques for handling increasingly massive data sets in shorter times.
Teacher Improves Learning by Selecting a Training Subset
DRACO:Robust Distributed Training via Redundant Gradients
Detecting solution space of PDEs via local random sampling
Optimal Calibration for Computer Model Prediction with Finite Samples
Waiting Time Analysis in a Network of Exhaustive Polling Queues
Statistical Tests and Machine Learning for Pooling and Analyzing Multi-site Datasets
Diffusive Optical Tomography in the Bayesian Framework
Approximate Gradient Coding in Random and Adversarial Settings