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  • On the Complexity of Game, Market, and Network Equilibria

    Thu, Oct 08, 2009 @ 03:30 PM - 04:45 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

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    Daniel J. Epstein Department of Industrial and Systems Engineering ISE 650 Seminar:"On the Complexity of Game, Market, and Network Equilibria"SHANG-HUA TENG, Seeley G. Mudd Professor Computer Science Department, USC Viterbi School of EngineeringTHURSDAY, OCTOBER 8, 2009, 3:30PM - 4:45PM, ANDRUS GERONTOLOGY AUDITORIUMABSTRACT: I will present some recent advances in Algorithmic Game Theory. I will focus on the computational equivalence of Nash equilibria for games, Arrow-Debreu equilibria and Fisher equilibria for markets, and fractional equilibria for networks. In additional to worst-case complexity, I will consider the smoothed and approximation complexity of these problems. If time permits, I will highlight some potential computational difference between solution concepts in games and in multi-objective optimization. Joint work with Xi Chen, Xiaotie Deng, Deichen Dai, Ye Du, Li-Sha Huang, Shiva Kintali, Laura Poplawski, Rajmohan Rajaraman, Heiko Röglin, Ravi Sundaram and Paul Valiant.SHANG-HUA TENG is the Seeley G. Mudd Professor and Chair of the Computer Science Department at the USC Viterbi School of Engineering. He has taught as a faculty member in the Department of Mathematics of MIT and in the Computer Science Departments of Boston University, the University of Minnesota and UIUC. He has worked and consulted for Microsoft Research, Akamai, IBM Almaden Research Center, Intel Corporation, Xerox PARC, Cray Research/SGI, Thinking Machine Corporation, and the NASA Ames Research Center. He received dual B.S. degrees in computer science and in electrical engineering from Shanghai Jiao Tong University in 1985, an M.S. degree in computer science from USC in 1988, and a Ph.D. degree in computer science from Carnegie Mellon University in 1991.He is a recipient of the 2009 Fulkerson Prize (AMS-MPS) and the 2008 Gödel Prize (ACM-EATCS) for his joint work on Smoothed Analysis of Algorithms with Daniel Spielman. He is also an Alfred P. Sloan Fellow, a winner of the Senior Xerox Award for Outstanding Faculty Research (UIUC), and a recipient of the NSF Faculty Early Career Development Award. His recent research interests include computational game and economics theory, spectral graph theory, scientific computing, and mathematical programming. He has received more than ten US Patents for his work on compiler optimization and Internet technology.Hosted by Profs. Elaine Chew and Fernando Ordonez.

    Location: Ethel Percy Andrus Gerontology Center (GER) - Auditorium

    Audiences: Everyone Is Invited

    Contact: Georgia Lum

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