Online Causal Inference Seminar
A regular international causal inference seminar.
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Suggest a speaker
If there is anyone you would like to hear at the Online Causal Inference Seminar, you may let us know here.
Opportunities in Causal Inference
Please check out our opportunities in causal inference page for conferences, workshops, and job listings! If you would like us to list an opportunity, please email us at onlinecausalinferenceseminar@gmail.com.
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Upcoming Seminar Presentations
All seminars are on Tuesdays at 8:30 am PT / 11:30 am ET / 4:30 pm London / 5:30 pm Berlin / 11:30 pm Beijing.
Tuesday, May 7, 2024 [Link to join]
- Speaker: Raaz Dwivedi (Cornell University)
- Discussant: James Robins (Harvard University)
- Title: Integrating Double Robustness into Causal Latent Factor Models
- Abstract: Latent factor models are widely utilized for causal inference in panel data, involving multiple measurements across various units. Popular inference methods include matrix completion for estimating the average treatment effect (ATE) and the nearest neighbor approach for individual treatment effects (ITE). However, these methods respectively underperform with non-low-rank outcomes or when faced with diverse units in the data. To tackle these challenges, we integrate double robustness principles with factor models, introducing estimators designed to be resilient against such issues. We present a doubly robust matrix completion strategy for ATE, capable of ensuring consistency despite unobserved confounding, either with low-rank outcome matrices or propensity matrices, and providing superior error/confidence intervals when both matrices are low-rank. Next, we propose a doubly robust nearest neighbor method for ITE, designed to achieve consistent estimates in the presence of either similar units or measurements, with improved error/confidence intervals when both conditions are met.
[Related paper #1 #2]Tuesday, May 14, 2024: No seminar due to ACIC
Tuesday, May 21, 2024 [Link to join] (Young researcher seminar)
- Speaker 1: Abhin Shah (MIT)
- Speaker 2: Brian Gilbert (New York University)
Tuesday, May 28, 2024 [Link to join]
- Speaker: Rodrigo Pinto (UCLA)
- Title: TBD
Tuesday, June 4, 2024 [Link to join]
- Speaker: Wang Miao (Peking University)
- Title: TBD
Format and Rules
The seminars are held on Zoom and last 60 minutes. Our seminars will typically follow one of three formats:
Format 1: single presentation
45 minutes of presentation
10 minutes of discussion, led by an invited discussant
Q&A, time permitting
Format 2: two presentations
Two presentations, 25-30 minutes each
Q&A, time permitting
Format 3: interview
40-45 minute conversation with leader in causal inference
15-20 minutes of Q&A
A moderator collects audience questions in Q&A section.
Moderators may ask you to unmute yourself to participate in the discussion. Please note that you may be recorded if you activate your audio or video during the seminar.
Organizers & Moderators
Naoki Egami (Columbia), Laura Forastiere (Yale), Guido Imbens (Stanford), Ying Jin (Stanford), Sara Magliacane (University of Amsterdam), Razieh Nabi (Emory), Georgia Papadogeorgou (University of Florida), Ema Perkovic (UWashington), Dominik Rothenhäusler (Stanford), Qingyuan Zhao (Cambridge), Michael Celentano (Stanford)
Advising committee
Susan Athey (Stanford), Guillaume Basse (Stanford), Peter Bühlmann (ETH Zürich), Peng Ding (Berkeley), Andrew Gelman (Columbia), Guido Imbens (Stanford), Fabrizia Mealli (Florence), Nicolai Meinshausen (ETH Zürich), Maya Petersen (Berkeley), Thomas Richardson (UW), Dominik Rothenhäusler (Stanford), Jas Sekhon (Berkeley/Yale), Stefan Wager (Stanford)
Feedback and Suggestions
If you have feedback or suggestions, please e-mail us at onlinecausalinferenceseminar@gmail.com.
Acknowledgements
We gratefully acknowledge support by the Stanford Department of Statistics and the Stanford Data Science Initiative.
Instructions for Attendees
You can join the webinar by clicking the link on the webpage. If you signed up to the mailing list, you will receive an email with the link before the webinar begins. On Tuesday, you should join the seminar shortly before the start time 8:30 am PT.
Please participate during the seminar!
Due to high demand, we will host the seminar as a Zoom webinar. As an attendee, you will not be able to unmute yourself. If you have questions about the content of the talk, please submit the questions using the Zoom Q&A feature. Time permitting, and depending on the volume of questions, the moderator will either ask your question for you or confirm with you to ask the question yourself and unmute you at a suitable time. In some meetings, the collaborators of the speaker will be online to address your questions in Q&A. Note that Q&A will be moderated by us so you will only be able to see some of the questions of the other attendees. If you want to send messages to the moderators during the seminar, please use the Zoom chat feature.
Zoom instructions
If you have not used Zoom before, we highly recommend downloading and installing the Zoom client before the meeting. Additional instructions on how to use Zoom during a webinar can be found here. Note that for the online causal inference seminar, we do not require registration in advance so you will be able to join by simply clicking the link on this webpage or in the email.
If you have further questions, please drop us an email at onlinecausalinferenceseminar@gmail.com