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Nika Haghtalab
Assistant Professor
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I work broadly on the theoretical aspects of machine learning and algorithmic economics. I especially care about developing a theory for machine learning that accounts for its interactions with people and organizations, and the wide range of social and economic limitations, aspiration, and behavior they demonstrate.
Papers41 papers
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NIPS 2020, (2020)
J. ACM, no. 5 (2020): 1-57
ACM Trans. Algorithms, no. 2 (2020): 1-39
IJCAI 2020, pp.160-166, (2020)
Available at SSRN, (2020)
ALGORITHMIC GAME THEORY (SAGT 2019), (2019): 168-182
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 7235-7244
FAT*, pp.381-391, (2019)
international joint conference on artificial intelligence, (2018): 106-113
national conference on artificial intelligence, (2018)
arXiv: Data Structures and Algorithms, (2018)
Bibtex
arXiv: Data Structures and Algorithms, (2017)
SODA '17: Symposium on Discrete Algorithms
Barcelona
Spain
January, 2017, (2017): 2351-2363
Knowl. Inf. Syst., no. 3 (2017): 657-685
COLT, (2017)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 5305-5314
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