This webpage provides information for the informal Machine Learning (ML) and Economics group at the Department of Economics, University of Oxford, coordinated by Maximilian Kasy.
The goal of this group is to discuss research and develop a common research agenda at the intersection of ML and economics. The focus is on conceptual and methodological contributions of economics to ML and of ML to economics. These two fields share a common language in the frameworks of optimization, probability, and decision theory. Economics has much to contribute to ML with its considerations of multiple agents, inequality and conflicting interests, and private information. ML has much to contribute to economics with its insights on supervised and active learning, considerations of non-traditional data types, and adaptive decision-making. Special emphasis will be put on the social impact of ML, and on non-commercial applications of ML.
- I have sent out a sign-up sheet for our e-mail list and for becoming a group affiliate. If you would still like to sign up, please send me an e-mail.
- I will teach a new MPhil course on the foundations of ML for economists in HT 2022.
All faculty, post-docs, and doctoral students are invited to audit this course and participate in discussions.
Syllabus, slides and readers can be found here: Foundations of Machine Learning
- I will coordinate a bi-weekly reading and discussion group on ML and economics, starting in HT 2022.
- I have set up a Wiki for the group, for open discussion, suggestion of future readings and other activities, sharing code, etc. Please go to Github Wiki to participate and discuss!
- In April 2021, we organized a conference on Machine learning and economic inequality. Recordings of the talks are available on Youtube.
Reading and discussion group
- Coordinating meeting: 2:30pm, November 2, 2021
Manor Road Building, Lecture Theatre
- Reading and discussion group meetings: 2:30pm, Tuesdays in even weeks, starting HT 2022
(That is: Jan 25, Feb 8, Feb 22, March 8)
Manor Road Building, Seminar Room A
- Slides for the coordinating meeting: Slides
Readings and discussion topics
Readings for HT 2022 (tentative):
- Abigail Adams-Prassl: Website
- Jeremias Adams-Prassl: Website
- Frank DiTraglia: Website, Code
- Edith Elkind: Website
- Paul Goldberg: Website
- Maximilian Kasy: Website, Code
- Margaryta Klymak: Website
- Anders Kock: Website
- Pantelis Koutroumpis: Website
- Nathaniel Lane: Website, Code
- Jeremy Large: Website, Code
- Michael McMahon: Website, Code
- Barbara Petrongolo: Website
- Charles Rahal: Website, Code
- Kevin Sheppard: Website, Code
- Alexander Teytelboym: Website
- Severine Toussaert: Website
- Martin Weidner: Website
- Frank Windmeijer: Website
- Francesco Zanetti: Website