this Friday, April 9th at noon 12:00 PM EST by Prof. Michael I. Jordan (UC Berkeley). Please find the talk information as follows:
Title: On Decision-Making in Machine Learning and Game Theory
Abstract: Statistical decisions are often given meaning in the context of other decisions, particularly when there are scarce resources to be shared. Managing such sharing is one of the classical goals of microeconomics, and it is given new relevance in the modern setting of large, human-focused datasets, and in data-analytic contexts such as classifiers and recommendation systems. I'll discuss several recent projects that aim to explore this interface, including the study of exploration-exploitation tradeoffs for bandits that compete over a scarce resource, notions of local optimality in nonconvex-nonconcave minimax optimization and how such notions relate to stochastic gradient methods, and the use of Langevin-based algorithms for Thompson sampling.
Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM. In 2016, he was named the "most influential computer scientist" worldwide in an article in Science, based on rankings from the Semantic Scholar search engine.
You can participate in the seminar via Zoom at:
https://mit.zoom.us/j/95603676000, or watch the Youtube livestream at:
https://youtu.be/rIdMnjO2joE. The links can also be found at our website:
https://sites.google.com/view/gamesdecisionsnetworks.--
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附件(578.8KB) rx2020,Guilherme_Franca,_Michael_I._Jordan,_René_Vidal).pdf附件(629.3KB) ,_Andre__Wilson,_Ashia_C.__Jordan,_Michael_I._(pnas2016).pdf