We want to demonstrate our commitment to your privacy. In support of the changes to the EU data protection law, we’ve updated our privacy notice effective May 25, 2018.

Faculty and invited speakers present current econometrics and statistics research, with particular emphasis on methods and applications relating to business and economic problems. Meetings are open to all interested faculty and MBA and PhD students.

We have decided that, in accordance with university guidance, and out of concern for our community and guest speakers, we will be hosting our Spring Quarter speaker series virtually.

The health and well-being of the UChicago community and our guests is our top priority, and we appreciate your understanding as we take steps to minimize the risk to the university community. We will post updated information to this page as it becomes available. Please note that the Zoom links for each week will be sent out via the listserv. See below for further information.

Please contact Megan Jennings Quist to be added to the listserv for weekly updates.

When possible, links to the workshop papers are posted to this page for printing. Occasionally, speakers opt not to circulate their papers. Therefore, the link will be unavailable.

Autumn 2021

 

Date Time Location Topic Speaker Institution
Thursday, September 30, 2021 1:30 p.m. CST  HC 3B

Topic: Connections between Online Learning and Differential Privacy

Papers:

  -Online Learning via the Differential Privacy Lens

  -On the Equivalence between Online and Private Learnability beyond Binary Classification

Virtual Presenter-

Ambuj Tewari

University of Michigan
Thursday, October 7, 2021 1:30 p.m. CST HC 3B  Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing
Maryclare Griffin University of Massachusetts Amherst
Thursday, October 14, 2021 1:30 p.m. CST
HC 3B

Full Law Identification in Graphic Models of Missing Data: Completeness Results

&

- Identification in Missing Data Models Represented by Directed Acyclic Graphs

Razieh Nabi John Hopkins University
Thursday, October 21, 2021 1:30 p.m. CST
HC 3B

Underspecification Presents Challenges for Credibility in Modern Machine Learning

Supplemental Papers: 

  -Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests

  -Causally-motivated Shortcut Removal Using Auxiliary Labels

Virtual Presenter-

Alexander D'Amour

Google
Thursday, October 28, 2021 1:30 p.m. CST
HC 3B
 TBD

Virtual Presenter-

Fredrik Sävje

Yale University
Thursday, November 4, 2021 1:30 p.m. CST
HC 3B
 TBD Krikamol Muandet Max Planck Institute
Thursday, November 11, 2021 1:30 p.m. CST
HC 3B
 TBD

Virtual Presenter-

Serena Ng

Columbia University
Thursday, November 18, 2021 1:30 p.m. CST
HC 3B  Detecting Multiple Replicating Signals Using Adaptive Filtering Procedures Jingshu Wang University of Chicago
Thursday, December 2, 2021 1:30 p.m. CST
HC 3B
 TBD Tracy Ke Harvard University
Thursday, December 9, 2021 1:30 p.m. CST
HC 3B
 TBD

Virtual Presenter-

Tim Christensen

New York University