[Colloquium] Fwd: Michael Jordan on Dynamics-Informed Blending of Machine Learning and Game Theory

Michael Franklin mjfranklin at uchicago.edu
Mon Feb 14 09:06:14 CST 2022


Please note this virtual talk series, which looks to be pretty interesting.

Best,

Mike

---------- Forwarded message ---------
From: C3.ai Digital Transformation Institute <info at c3dti.ai>
Date: Mon, Feb 14, 2022 at 8:59 AM
Subject: Michael Jordan on Dynamics-Informed Blending of Machine Learning
and Game Theory
To: <mjfranklin at uchicago.edu>


Michael Jordan on Dynamics-Informed Blending of Machine Learning and Game
Theory
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The Colloquium on Digital Transformation is a series of weekly online talks
on how artificial intelligence, machine learning, and big data can lead to
scientific breakthroughs with large-scale societal benefit.


*See details of upcoming talks here
<https://c3dti.us8.list-manage.com/track/click?u=aae4610086c8b3a8646b00cbe&id=2e28255945&e=f368f1abe4>
and
note we have the same Zoom Webinar registration
<https://c3dti.us8.list-manage.com/track/click?u=aae4610086c8b3a8646b00cbe&id=ac3a4b8177&e=f368f1abe4>
link
for all spring 2022 talks*

*On Dynamics-Informed Blending of Machine Learning and Game Theory*

*February 17, 1 pm PT/3 pm CT*


*Michael I. Jordan, Pehong Chen Distinguished Professor University of
California, Berkeley*


<https://c3dti.us8.list-manage.com/track/click?u=aae4610086c8b3a8646b00cbe&id=30dc5aea82&e=f368f1abe4>

Much of the recent focus in machine learning has been on the
pattern-recognition side of the field. I will focus instead on the
decision-making side, where many fundamental challenges remain. Some are
statistical in nature, including the challenges associated with multiple
decision-making, and some are algorithmic — including the challenge of
coordinated decision-making on distributed platforms, and others are
economic, involving learning systems that must cope with scarcity,
competition, and incentives. I will present recent progress on each of
these fronts, focusing on the economics front.

Michael I. Jordan
<https://c3dti.us8.list-manage.com/track/click?u=aae4610086c8b3a8646b00cbe&id=1f721acbcc&e=f368f1abe4>
is the Pehong Chen Distinguished Professor at the University of California,
Berkeley. His research interests include machine learning, optimization,
control theory, and computational biology. Professor Jordan is a member of
the National Academy of Sciences, the National Academy of Engineering, and
the American Academy of Arts and Sciences. He is a Foreign Member of the
Royal Society. He was a Plenary Lecturer at the International Congress of
Mathematicians in 2018. He has received the Ulf Grenander Prize from the
American Mathematical Society, the IEEE John von Neumann Medal, the IJCAI
Research Excellence Award, the David Rumelhart Prize, and the ACM/AAAI
Allen Newell Award.
*UPCOMING SPEAKERS
<https://c3dti.us8.list-manage.com/track/click?u=aae4610086c8b3a8646b00cbe&id=f7a7d4d286&e=f368f1abe4>*

February 24, 1 pm PT/3 pm CT
*David Shmoys*, Laibe/Acheson Professor, Cornell University

March 3, 1 pm PT/3 pm CT
*Asuman Ozdaglar*, MathWorks Professor of Electrical Engineering and
Computer Science; Department Head, EECS, Massachusetts Institute of
Technology

March 10, 1 pm PT/3 pm CT
*Christos Papadimitriou*, Donovan Family Professor of Computer Science,
Columbia University



*Watch all C3.ai DTI talks on our YouTube channel*

YouTube.com/C3DigitalTransformationInstitute
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*The Science of Digital Transformation*

*About the C3.ai Digital Transformation Institute*

Established in March 2020 by C3 AI, Microsoft, and leading universities,
the C3.ai Digital Transformation Institute is a research consortium
dedicated to accelerating the socioeconomic benefits of artificial
intelligence. The Institute engages the world’s leading scientists to
conduct research and train practitioners in the new Science of Digital
Transformation, which operates at the intersection of artificial
intelligence, machine learning, cloud computing, internet of things, big
data analytics, organizational behavior, public policy, and ethics. The ten
C3.ai Digital Transformation Institute consortium member universities and
research laboratories are: University of Illinois at Urbana-Champaign;
University of California, Berkeley; Carnegie Mellon University; KTH Royal
Institute of Technology; Lawrence Berkeley National Laboratory;
Massachusetts Institute of Technology; National Center for Supercomputing
Applications at University of Illinois at Urbana-Champaign; Princeton
University; Stanford University; and University of Chicago. Learn more at
C3DTI.ai
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