16
Jul
©geralt - pixabay.com
Lecture
Methodological Advances in Experimental Design
Drew Dimmery, Hertie School Data Science Lab
16.07.2024
11:00 am - 12:30 pm
LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Drew Dimmery will discuss methodological advances in experimental design, emphasizing resolving issues before data collection.
They will cover three key areas: enhancing treatment assignment for better generalization of causal effects, improving the estimation of heterogeneous treatment effects by connecting design to the MAXCUT problem, and developing efficient online assignment procedures for sequential experiments. These advancements aim to optimize experimental outcomes and robustness, drawing on recent research and algorithmic innovations.
Organized by:
Institute of AI in Management LMU Munich
Related
Munich AI Lectures • 09.07.2025 • Plenarsaal of the Bavarian Academy of Sciences and Humanities (BAdW), Alfons-Goppel-Straße 11, 80539 Munich
Foundational Methods for Foundation Models for Scientific Machine Learning
The Munich AI Lectures on July 9th, 2025, will feature Virginia Dignum and focus on responsible AI and foundational methods for SciML models.
©voxel51
Meetup • 09.07.2025 • Online
The Best of CVPR 2025 Series
Voxel51’s “Best of CVPR” event features top 2025 computer vision research, including Cecilia Curreli presenting on human motion prediction.
©1E9
Festival • 03.07.2025 - 06.07.2025 • Deutsches Museum, Munich
Festival of the Future 2025
Festival of the Future 2025 takes place from July 3 to 6, 2025, covering AI, sustainability, and space, with Björn Ommer as a speaker.