Hosted by the Institute for Foundations of Data Science
University of Washington
Jointly organized with University of Wisconsin - Madison, University of Chicago, University of California Santa Cruz
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Sara Beery Massachusetts Institute of Technology |
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Kamalika Chaudhury UC San Diego |
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Aleksander Mądry
Massachusetts Institute of Technology |
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Daniel Hsu Columbia University |
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Nan Jiang UIUC |
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Dylan Foster Microsoft Research |
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Maria-Florina Balcan Carnegie Mellon University |
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Aaditya Ramdas Carnegie Mellon University |
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Ilias Diakonikolas University of Wisconsin - Madison |
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Samet Oymak University of Michigan |
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Sivaraman Balakrishnan Carnegie Mellon University |
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Simon Du University of Washington |
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Rahul Parhi UC San Diego |
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Ramya Vinayak University of Wisconsin - Madison |
The IFDS Workshop on the Theoretical Foundations of Applied AI will take place August 13–15, 2025, at the University of Washington’s Seattle campus. This workshop brings together a diverse group of theoreticians and applied researchers to explore the theoretical underpinnings behind the successes and limitations of modern AI. Through invited talks and dynamic discussions, we aim to deepen our understanding of foundational principles that drive real-world impact. The workshop is part of the scientific programming of the NSF TRIPODS Institute for Foundations of Data Science (IFDS), a multi-institutional collaboration involving the University of Washington, University of Chicago, University of Wisconsin, and University of California-Santa Cruz. The workshop is organized with support from IFDS at the University of Wisconsin. We look forward to engaging conversations and new collaborations at the intersection of theory and applications.
Please make sure to book your travel very early. For accommodation, there is a set of rooms blocked at the Silver Cloud Hotel near campus (we will be in touch with speakers).
Questions? Contact us!