Research output per year
Research output per year
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Dive into the research topics where Parshan Pakiman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes
Pakiman, P., Nadarajah, S., Soheili, N. & Lin, Q., Apr 2025, In: Management Science. 71, 4, p. 3384-3404 21 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Smoile: A shopper marketing optimization and inverse learning engine
Chenreddy, A. R., Pakiman, P., Nadarajah, S., Chandrasekaran, R. & Abens, R., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , p. 2934-2942 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations