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Distribution generalization and causal inference

1st joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Project.

Speakers:

· Zijian Guo, Rutgers University: "Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies"

· Sara Magliacane, University of Amsterdam and MIT-IBM Watson AI LAB: "Causality-inspired ML: what can causality do for ML?"

Discussant: Niklas Pfister, University of Copenhagen

When: Monday, March 20, 2023, 7:00 PT / 10:00 ET / 15:00 CET

Details: https://youngstats.github.io/categories/webinars/

NB: The zoom link will be sent to the registered addresses.

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