Schedule

8:45 – 9:30 Breakfast, Coffee, Registration (name tags, socialization)
9:15 – 9:30 Opening Remarks: Rebecca Willett
9:30 – 9:55 Zach Charles (ECE): Stability and Generalization of Convergent Learning Algorithms
9:55 – 10:20 Kit Newton (Math): Diffusive Optical Tomography in the Bayesian Framework
10:20 – 10:45 Hao Zhou (Stats): Statistical Tests and Machine Learning for Pooling and Analyzing Multi-site Datasets
10:45 – 11:10 Ravi Suman (ISyE): Waiting Time Analysis in a Network of Exhaustive Polling Queues
11:10 – 11:35 Xiaowu Dai (Stats): Optimal Calibration for Computer Model Prediction with Finite Samples

11:35 – 1:30 Lunch and Posters

1:30 – 1:55 Ke Chen (Math): Detecting solution space of PDEs via local random sampling
1:55 – 2:20 Hongyi Wang (CS): DRACO:Robust Distributed Training via Redundant Gradients
2:20 – 2:45 Yuzhe Ma (CS): Teacher Improves Learning by Selecting a Training Subset

3:00 – 4:00 Panel discussion — Collaborative Data Science Research: Trends and Advice.
Panelists: Zachary Charles (ECE), Varun Jog (ECE), Karl Rohe (Stats), Qin Li (Math), Wei Zhang (CS), Xiuyu Ma (Stats) .