Seminars will take place online. The seminar series is arranged by Daniel Wilhelm and Andrei Zeleneev.

Test of Neglected Heterogeneity in Dyadic Models

7 June 2022

Speaker: Roger Moon (USC)
Venue: Online Seminar
Inference for Large-Scale Linear Systems with
Known Coefficients

31 May 2022

Speaker: Azeem Shaikh (Chicago)
Venue: Drayton B20 Jevons
Universal Prediction Band via Semi-Definite Programming

24 May 2022

Speaker: Tengyuan Liang (Chicago Booth)
Venue: Online Seminar
Identification and Estimation of Average Partial Effects in
Semiparametric Binary Response Panel Models

20 May 2022

Speaker: Laura Liu (Indiana)
Venue: Drayton House, Room 321
Bias-Aware Inference in Regularized Regression Models

10 May 2022

Speaker: Tim Armstrong (USC)
Venue: Gordon House 106
Dropout Training is Distributionally Robust Optimal

26 April 2022

Speaker: José Luis Montiel Olea (Columbia)
Venue: Online only
Deep Learning for Individual Heterogeneity: An Automatic Inference Framework

5 April 2022

Speaker: Max Farrell (Chicago Booth)
Venue: Online Seminar
Discordant Relaxations of Misspecified Models

29 March 2022

Speaker: Ismael Y. Mourifié (UToronto)
Venue: Online Seminar
Optimal Treatment Assignment Rules on Networked Populations

22 March 2022

Speaker: Abhishek Ananth (U of Geneva/Emory)
Venue: Online Seminar