CAMSE-CLIMB Mini-Conference
On Thursday April 11th, 2024 the Center for the Application of Mathematics and Statistics to Economics (CAMSE) and the Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley (CLIMB) will host a half day mini-conference. The goal is to gather campus researchers at the intersection of economics, machine learning and statistics. Attendence is open to anyone from the Berkeley data science communities (broadly and inclusively defined). Registration is not required.
The conference will be held in room 250 of Sutardja Dai Hall on the north side of the UC Berkeley campus (close to the North Gate of campus).
A preliminary conference program can be found below.
CAMSE-CLIMB Mini-Conference
Organizers
Bryan Graham
With special thanks to:
Naomi Yamasaki
Michael Jordan
Thursday, April 11th, 2024
250 Sutardja Dai Hall
Morning Session: Students & Post-Docs Speakers, 9:40AM to 11:40AM
| Time | Speaker | Title |
|---|---|---|
| 9:40AM to 10:00AM | Serena Wang, UC - Berkeley, EECS | Information elicitation in agency games |
| 10:00AM to 10:20AM | Dohyeong Ki, UC - Berkeley, Statistics | Totally convex regression |
| 10:20AM to 10:40AM | Anand Kumar Siththaranjan, UC - Berkeley, EECS | When can communication be informative? |
| 10:40AM to 11:00AM | Keaton Ellis, UC - Berkeley, Simons Institute | The predictivity of theories of choice under uncertainty |
| 11:00AM to 11:20AM | Yixiang Luo, UC - Berkeley, Applied Mathematics | Estimating the FDR of variable selection |
| 11:20AM to 11:40AM | Yassine Sbai-Sassi, UC - Berkeley, Economics | Average treatement effects for exchangeable random arrays |
Afternoon Session: Faculty Speakers, 1:30PM to 5:30PM
| Time | Speaker | Title |
|---|---|---|
| Session 1: Labor Economics Seminar | ||
| 1:30PM to 2:30PM | Leonard Goff, University of Calgary, Economics | Treatment effects in bunching designs: the impact of mandatory overtime pay on hours |
| 1:30PM to 1:45PM | Break | |
| Session 2: CS-Econ-Stat @Cal | ||
| 1:45PM to 2:30PM | Alejandro Schuler, UC - Berkeley, Biostatistics | Lassoed Tree Boosting |
| 2:30PM to 3:15PM | Federico Echenique, UC - Berkeley, Economics | Stable matching as transportation |
| 3:15PM to 4:00PM | Nika Haghtalab, UC - Berkeley, EECS | Collaborative machine learning: optimization and incentives |
| 4:00PM to 4:30PM | Break | |
| Session 3: Econometrics Seminar | ||
| 4:30PM to 5:30PM | Whitney Newey, MIT, Economics | Automatic Debiased Machine Learning via Riesz Regression |