9:30 – 9:55 Zach Charles (ECE):
Stability and Generalization of Convergent Learning Algorithms
Category: Abstract
2:20 – 2:45 Yuzhe Ma (CS):
Teacher Improves Learning by Selecting a Training Subset
1:55 – 2:20 Hongyi Wang (CS):
DRACO:Robust Distributed Training via Redundant Gradients
1:30 – 1:55 Ke Chen (Math):
Detecting solution space of PDEs via local random sampling
11:10 – 11:35 Xiaowu Dai (Stats):
Optimal Calibration for Computer Model Prediction with Finite Samples
10:45 – 11:10 Ravi Suman (ISyE):
Waiting Time Analysis in a Network of Exhaustive Polling Queues
10:20 – 10:45 Hao Zhou (Stats):
Statistical Tests and Machine Learning for Pooling and Analyzing Multi-site Datasets
9:55 – 10:20 Kit Newton (Math):
Diffusive Optical Tomography in the Bayesian Framework
9:30 – 9:55 Zach Charles (ECE):
Approximate Gradient Coding in Random and Adversarial Settings