Past Events

Faculty Candidate Talk

Learning with Strategic Agents


Download as iCal file

Monday, February 07, 2022, 10:30am - 12:00pm


Speaker: Fang-Yi Yu


Fang-Yi is currently a Postdoctoral fellow at Harvard School of Engineering and Applied Sciences. He received the Ph.D. in Computer Science from the University of Michigan, and worked as a Postdoctoral research fellow at the School of Information at the University of Michigan. His research is broadly situated at the interface between machine learning, artificial intelligence, and economics. His recent work focuses on machine learning with strategic agents.

Location : Via Zoom

Event Type: Faculty Candidate Talk

Abstract: In the age of artificial intelligence, properly deployed AI technology can transform society at every level, from individuals making decisions to institutes developing better policies. To achieve this, we need to understand the interaction between AI and society, such as how society provides AI inputs and how AI's outputs may affect society when strategic behavior is possible. I will highlight two examples of my work about this interaction: 1) Information elicitation: How can we elicit and aggregate high-quality information from strategic agents? Using variational statistics, I design peer prediction mechanisms that reward strategic agents for truthful reports even without verification. 2) Performative prediction: Can standard learning algorithms converge in supervised learning when the outcome distribution (strategically) responds to our predictive models? With techniques in dynamical systems, I show that the learning algorithm can converge to the global stable and optimal point when the learning rate is small enough, but exhibits Li-Yorke chaos when the algorithm is not cautious in the learning rates or has an overwhelming influence on the data distribution.


Rutgers University School of Arts and Sciences

Contact  Yongfeng Zhang

Join Zoom Meeting Join by SIP Meeting ID: 948 6807 2404 Password: 880006 One tap mobile +16465588656,,94868072404# US (New York) 13017158592,,94868072404# US +(Washington DC) Join By Phone +1 646 558 8656 US (New York) +1 301 715 8592 US (Washington DC) +1 312 626 6799 US (Chicago) +1 669 900 9128 US (San Jose) +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) Meeting ID: 948 6807 2404 Find your local number: Join by Skype for Business If you have any questions, please contact the Office of Information Technology Help Desk