IFDS Workshop: Distributional Robustness in Data Science

Invited Speakers

	Sara Beery Massachusetts Institute of Technology		Kamalika Chaudhury UC San Diego
	Amanda Smith University of Wisconsin - Madison		Daniel Hsu Columbia University
	Nan Jiang UIUC		Dylan Foster Microsoft Research
	Maria-Florina Balcan Carnegie Mellon University		Aaditya Ramdas Carnegie Mellon University
	Ilias Diakonikolas University of Wisconsin - Madison		Samet Oymak University of Michigan
	Sivaraman Balakrishnan Carnegie Mellon University		Simon Du University of Washington
	Rahul Parhi UC San Diego		Ramya Vinayak University of Wisconsin - Madison
	Vasileios Charisopoulos University of Chicago		Nati Srebro Toyota Technological Institute at Chicago

Schedule

Lectures will be held in Zillow Commons, 4th floor of the Gates Center

Talk titles and abstracts available here.

August 13

9:00-9:45	Ramya Korlakai Vinayak
9:45-10:30	Rahul Pahri
10:30-11:00	Break
11:00-11:45	Nati Srebro
11:45-2:00	Lunch
2:00-2:45	Sivaraman Balakrishnan
2:45-3:30	Daniel Hsu
3:30-4:00	Break
4:00-5:00	Short talks - Anshul Nasery, Julia Blair Nakhleh, Niharika Karnik, Artin Tajdini
5:00-5:30	Posters

August 14

9:00-9:45	Nan Jiang
9:45-10:30	Dylan Foster
10:30-11:00	Break
11:00-11:45	Kamalika Chaudhury
11:45-2:00	Lunch
2:00-2:45	Aaditya Ramdas
2:45-3:30	Nina Balcan
3:30-4:00	Break
4:00-4:30	Amanda Smith
4:30-5:00	Ilias Diakonikolas
5:00-6:00	Short talks - Sue Parkinson, Libin Zhu, Scott Geng, Adela DePavia

August 15

9:00-9:45	Sara Beery
9:45-10:30	Samet Oymak
10:30-11:00	Break
11:00-11:45	Vasileios Charisopoulos
11:45-12:30	Simon Du

Registration

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.

Registration is required for all participants, but admission is free. Please take a moment and register here.

Accommodation

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).

IFDS Workshop on Theoretical Foundations of Applied AI

Dates

August 13-15, 2025

Location

Bill & Melinda Gates Center, University of Washington