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Aleksandrs Slivkins
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My research interests are in algorithms and theoretical computer science, spanning learning theory, algorithmic economics, and networks. I am particularly interested in online machine learning and exploration-exploitation tradeoff, and their manifestations in socioeconomic environments. Much of my earlier research was on the analysis of Internet and social networks, metric embeddings, and distance/routing data structures.
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EC '20: The 21st ACM Conference on Economics and Computation
Virtual Event
Hungary
..., pp.647-648, (2020)
Oper. Res., no. 4 (2020): 1132-1161
ACM Trans. Economics and Comput., no. 1 (2020)
symposium on discrete algorithms, (2020)
NIPS 2020, (2020)
conference on learning theory, pp.2025-2027, (2019)
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, (2019): 751-761
Proceedings of the 2019 ACM Conference on Economics and Computation, pp.171-172, (2019)
FOUNDATIONS AND TRENDS IN MACHINE LEARNING, no. 1-2 (2019): 1-286
conference on learning theory, (2019): 2025-2027
2019 IEEE 60TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS 2019), (2019): 202.0-219
Journal of the ACM (JACM), no. 4 (2019): 1-77
arXiv: Computer Science and Game Theory, (2019)
Foundations of Computer Science, no. 3 (2018): 207-216
Journal of the ACM, no. 3 (2018): 1-55
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