| Date |
Presenter |
Title |
Regular Time: 4:30 – 5:30 pm
Regular Location: F55 Jon M. Huntsman Hall
| Wednesday, September 5, 2018
| Yuxin Chen – Princeton University |
Random Initialization and Implicit Regularization in Nonconvex Statistical Estimation
|
| Wednesday, September 12, 2018
| Hau-tieng Wu – Duke University |
Sensor Fusion via Two Types of Diffusion — with Sleep Dynamics Analysis as an Example
|
| Wednesday, September 19, 2018 |
Ilias Diakonikolas – University of Southern California |
Algorithmic Questions in High-Dimensional Robust Statistics
|
|
| Wednesday, September 26, 2018 |
Boaz Nadler – Weizmann Institute of Science |
Unsupervised Ensemble Learning
|
| Wednesday, October 3, 2018 |
Peter Aronow – Yale University |
Foundations of Design-Based Inference under Interference
|
| Wednesday, October 10, 2018 |
Ambuj Tewari – University of Michigan |
Random Perturbations in Machine Learning
|
| Wednesday, October 17, 2018 |
Matus Telgarsky – University of Illinois at Urbana-Champaign |
Generalization and Optimization of Deep Networks
|
| Wednesday, October 24, 2018 |
Jason Lee – University of Southern California |
Towards Theoretical Understanding of Overparametrization in Deep Learning
|
| Wednesday, October 31, 2018 |
Robert Ghrist – University of Pennsylvania |
Topological Methods for Data
|
| Wednesday, November 7, 2018 |
Tyler VanderWeele – Harvard University |
Sensitivity Analysis in Observational Research: Introducing the E-Value
|
| Wednesday, November 14, 2018 |
José Zubizarreta – Harvard University |
Building Representative Matched Samples with Multi-valued Treatments in Large Observational Studies
|
| Wednesday, November 28, 2018 |
Rong Ge – Duke University |
Optimization Landscape – From Matrix Completion to Neural Networks
|
| Wednesday, December 5, 2018 |
Victor Preciado – University of Pennsylvania |
|
| Wednesday, December 12, 2018 |
Alexandre Belloni – Duke University |
|
