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Simple strategies for large zero-sum games with applications to complexity theory
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-sixth annual ACM symposium on Theory of computing table of contents
Montreal, Quebec, Canada
Pages: 734 - 740  
Year of Publication: 1994
ISBN:0-89791-663-8
Authors
Richard J. Lipton  Computer Science Dept, Princeton Univ., Princeton, NJ
Neal E. Young  Dept. of Operations Research and Ind. Eng., Cornell University, Ithaca, NY
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 39,   Citation Count: 6
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Noga Alon, Richard M. Karp, David Peleg, and Douglas West. A graph-theoretic game and its application to the k-server problem. In Lyle McGeoch and Daniel Sleator, editors, On-Line Algorithms: Proceedings of a DIMA CS Workshop, volume 7 of DIMA CS Series in Discrete Mathematics and Theoretical Computer Science, pages 1-9, 1992.
 
3
ingo AlthSfer. On sparse approximations to randomized strategies and covex combinations. Linear Algebra and its Applications, 199, March 1994.
 
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Joan Feigenbaum, Daphne Koller, and Peter Shor. Private communication. 1993.
 
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Y. Gurevich. Complete and incomplete randomized NP problems. In Proc. of the 28th IEEE Annual Symp. on Foundation of Computer Science, pages 111-117, 1987.
 
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Y. Gurevich. Matrix decomposition problem is complete for the average case. In Proc. of the 31st IEEE Annual Syrup. on Foundation of Computer Science, pages 802-811, 1990.
 
11
Wassily Hoeffding. Probability inequalities for sums of bounded random variables. American Statistical Journal, pages 13-30, March 1963.
 
12
Russell Impagliazzo and Leonid Levin. No better ways to generate hard NP instances than picking uniformly at random. In Proc. of the 31st IEEE Annual Syrup. oft Foundation of Computer Science, pages 812-821, 1990.
 
13
Ming Li and P. M. B. Vitanyi. A theory of learning simple concepts under simple distributions and average case complexity for the universal distribution. In Proc. of the 30th IEEE Annual Symp. on Foundation of Computer Science, pages 34-39, 1989.
 
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Uwe SchSning. Probabilistic complexity classes and lowness. In Proc. of the Second IEEE Structure in Complexity Theory Conference, pages 2-8, 1987.
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John von Neumann. Zur Theorie der Gesellschaftspiel. Mathematische Annalen, 100(295-320), 1928.
 
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Andrew C.C. Yao. Probabilistic complexity: Towards a unified measure of complexity. In Proc. of the 18th IEEE Annual Symp. on Foundation of Computer Science, pages 222-227, 1977.
 
19
Andrew C.C. Yao. Lower bounds by probabilistic arguments. In Proc. of the 24th IEEE Annual Symp. on Foundation of Computer Science, pages 420-428, 1983.
 
20
Neal E. Young. Greedy algorithms by derandomizing unknown distributions. Technical Report T.R. 1087, Cornell University Department of Operations Research and Industrial Engineering, Ithaca, NY 14853, 1994.


Collaborative Colleagues:
Richard J. Lipton: colleagues
Neal E. Young: colleagues