Workshops

Spring 2022

Learning from Interventions

Feb 14, 2022 to Feb 17, 2022

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All talks are listed in Pacific Time.

Monday, February 14th, 2022
9:00 am–9:20 am		Coffee and Check-In
9:20 am–9:30 am		Opening Remarks
9:30 am–10:00 am		Causal Emergence: When Distortions In A Map Obscure The Territory Frederick Eberhardt (Caltech)
10:00 am–10:30 am		Learning Causal Representations From Unknown Interventions Kun Zhang (Carnegie Mellon University)
10:30 am–11:00 am		Break
11:00 am–11:30 am		Learning & Reasoning With Soft Interventions Elias Bareinboim (Columbia University)
11:30 am–12:00 pm		Online Reinforcement Learning With The Help Of Confounded Offline Data Uri Shalit (Technion - Israel Institute of Technology)
12:00 pm–12:30 pm		Panel Discussion Elias Bareinboim (Columbia University), Frederick Eberhardt (Caltech), Kun Zhang (Carnegie Mellon University), and Uri Shalit (Technion - Israel Institute of Technology)
12:30 pm–2:30 pm		Lunch
2:30 pm–3:00 pm		Counterfactual Inference For Sequential Experiment Design Raaz Dwivedi (MIT)
3:00 pm–3:30 pm		Break
3:30 pm–4:00 pm		Learning from RCTs in Public Health and Medicine James Robins (Harvard University)
4:00 pm–4:30 pm		Panel Discussion Raaz Dwivedi (MIT) and James Robins (Harvard University)
4:30 pm–5:30 pm		Reception

Tuesday, February 15th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:00 am		To Adjust Or Not To Adjust? Estimating The Average Treatment Effect In Randomized Experiments With Missing Covariates Peng Ding (UC Berkeley)
10:00 am–10:30 am		Searching For Causal Genetic Mechanisms Across Human Populations Chiara Sabatti (Stanford University)
10:30 am–11:00 am		Break
11:00 am–11:30 am		Machine Learning-Based Design Of Proteins Jennifer Listgarten (UC Berkeley)
11:30 am–12:00 pm		Panel Discussion Chiara Sabatti (Stanford University), Jennifer Listgarten (UC Berkeley), and Peng Ding (UC Berkeley)
12:00 pm–2:00 pm		Lunch
2:00 pm–2:30 pm		Learning And Testing Causal Models: A Property Testing Viewpoint Arnab Bhattacharyya (National University of Singapore, Singapore)
2:30 pm–3:00 pm		Some Staged Tree Models For Learning From Interventions Liam Solus (KTH)
3:00 pm–3:30 pm		Break
3:30 pm–4:00 pm		Balancing Covariates In Randomized Experiments: The Gram--Schmidt Walk Design Christopher Harshaw (Yale University)
4:00 pm–4:30 pm		Panel Discussion Arnab Bhattacharyya (National University of Singapore, Singapore), Christopher Harshaw (Yale University), and Liam Solus (KTH)

Wednesday, February 16th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:00 am		Learning Abstract Causal Structure From Causal Interventions In Children And Artificial Agents Alison Gopnik (UC Berkeley)
10:00 am–10:30 am		Balancing Weights For Causal Effects With Panel Data: Some Recent Extensions To The Synthetic Control Method Avi Feller (UC Berkeley)
10:30 am–11:00 am		Break
11:00 am–11:30 am		Designing Adaptive Experiments For Policy Learning And Inference Molly Offer-Westort (University of Chicago)
11:30 am–12:00 pm		Panel Discussion Alison Gopnik (UC Berkeley), Avi Feller (UC Berkeley), and Molly Offer-Westort (University of Chicago)
12:00 pm–2:00 pm		Lunch
2:00 pm–4:00 pm		Open Discussion (In-Person Only)

Thursday, February 17th, 2022
9:00 am–9:30 am		Coffee and Check-In
9:30 am–10:00 am		Causal Estimands And Interventions Vanessa Didelez (Leibniz Institute, University of Bremen)
10:00 am–10:30 am		Unmeasured Spatial Confounding Georgia Papadogeorgou (University of Florida)
10:30 am–11:00 am		Break
11:00 am–11:30 am		A Practitioner’S Guide To Intent-To-Treat Effects From Multisite (Blocked) Individually Randomized Trials: Estimands, Estimators, And Estimates Luke Miratrix (Harvard University)
11:30 am–12:00 pm		Panel Discussion Georgia Papadogeorgou (University of Florida), Luke Miratrix (Harvard University), and Vanessa Didelez (Leibniz Institute, University of Bremen)
12:00 pm–2:00 pm		Lunch
2:00 pm–2:30 pm		Causal Inference For Socio-Economic And Engineering Systems Anish Agarwal (MIT)
2:30 pm–3:00 pm		Efficient Least Squares For Estimating Total Effects Under Linearity And Causal Sufficiency Emilija Perkovic (University of Washington)
3:00 pm–3:30 pm		Break
3:30 pm–4:00 pm		A Robust, Differentially Private Randomized Experiment For Evaluating Online Educational Programs With Sensitive Student Data Hyunseung Kang (University of Wisconsin, Madison)
4:00 pm–4:30 pm		Panel Discussion Anish Agarwal (MIT), Emilija Perkovic (University of Washington), and Hyunseung Kang (University of Wisconsin, Madison)