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Thodoris Lykouris
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I am broadly interested in machine learning, algorithms, optimization, and economics. In particular, I am mostly working on online decision making for multi-agent systems with an emphasis on a) obtaining improved performance guarantees utilizing nice structures in the data in a robust manner and b) addressing issues that arise due to the multi-agent nature of these systems.
Papers21 papers
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ICML, pp.6511-6521, (2020)
ALT, pp.592-614, (2020)
ITCS, (2020)
ITCS, (2019)
arXiv: Learning, (2019)
conference on learning theory, (2018)
ICML, (2018): 3296-3305
STOC '18: Symposium on Theory of Computing
Los Angeles
CA
USA
June, 20..., (2018): 114-122
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 8376-8387
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016)
arXiv: Computer Science and Game Theory, (2016)
Bibtex
neural information processing systems, pp.4727-4735, (2016)
arXiv: Computer Science and Game Theory, (2016)
arXiv: Computer Science and Game Theory, (2016)
SODA '16: Symposium on Discrete Algorithms
Arlington
Virginia
January, 2016, (2016): 120-129
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