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Kamesh Munagala
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Research Overview
My research is in the general area of algorithm design and discrete optimization. My main research focus is on algorithm design when the inputs are poorly known, which includes the fields of online algorithms, stochastic optimization, and mechanism design. My work is largely methodological, with some applications to e-commerce, databases, data analysis, and networks.
My research is in the general area of algorithm design and discrete optimization. My main research focus is on algorithm design when the inputs are poorly known, which includes the fields of online algorithms, stochastic optimization, and mechanism design. My work is largely methodological, with some applications to e-commerce, databases, data analysis, and networks.
Papers135 papers
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SIGMETRICS '20: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Sy..., no. 1 (2020): 13-14
Proceedings of the ACM on Measurement and Analysis of Computing Systems, no. 1 (2020): 1-18
Proceedings of the ACM on Measurement and Analysis of Computing Systems, no. 1 (2020): 1-23
NeurIPS, (2020)
FSTTCS, (2020)
IJCAI, pp.110-116, (2020)
Special Interest Group on Measurement and Evaluation, no. 1 (2020): 13-14
Special Interest Group on Measurement and Evaluation, no. 1 (2020): 5-6
SIGMETRICS '20: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Sy..., no. 1 (2020): 5-6
national conference on artificial intelligence, (2019)
Proceedings of the ACM on Measurement and Analysis of Computing Systems, no. 1 (2019): 18-32
CoRR, (2019): 1032-1041
STOC '20: 52nd Annual ACM SIGACT Symposium on Theory of Computing
Chicago
IL
..., pp.463-472, (2019)
J. Artif. Intell. Res., (2019)
Kamesh Munagala, Kangning Wang
Proceedings of the 2019 ACM Conference on Economics and Computation, (2019): 245-262
Proceedings of the 2019 ACM Conference on Economics and Computation, (2019): 263-279
WINE, (2018)
EC, (2018): 575-592
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