Negin (Nicki) Golrezaei


Negin (Nicki) Golrezaei

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Negin Golrezaei is an Associate Professor of Operations Management at the MIT Sloan School of Management.

Her current research interests are in the area of machine learning, statistical learning theory, mechanism design, and optimization algorithms with applications to revenue management, pricing, and online markets. Before joining MIT, Negin spent a year as a postdoctoral researcher at Google Research in New York where she worked with the Market Algorithm team to develop, design, and test new mechanisms and algorithms for online marketplaces.

Negin is the recipient of a 2018 Google Faculty Research Award; 2017 George B. Dantzig Dissertation Award; 2017 INFORMS Revenue Management and Pricing Section Dissertation Prize; 2018 Elwood S. Buffa Doctoral Dissertation Award from the Decision Sciences Institute; University of Southern California (USC) Ph.D. Achievement Award (2017); USC CAMS Graduate Student Prize, for excellence in research with a substantial mathematical component (2017); Honorable mention in the 2016 MSOM Student Paper Competition; and  USC Provost's Ph.D. Fellowship (2011).

Negin received her BSc (2007) and MSc (2009) degrees in electrical engineering from the Sharif University of Technology, Iran, and a PhD (2017) in operations research from USC.



INFORMS honors Golrezaei’s paper

March 5, 2024

Golrezaei wins 2018 Google Faculty Research Award

Golrezaei wins YIP Award


"​Optimal Learning for Structured Bandits."

Van Parys, Bart P.G., and Negin Golrezaei. Management Science. Forthcoming. arXiv Preprint .

"​Non-Stationary Bandits with Auto-Regressive Temporal Dependency."

Qinyi Chen, Negin Golrezaei, and Djallel Bouneffouf. In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA: December 2023. Supplemental Material. SSRN Preprint.

"Learning and Collusion in Multi-unit Auctions."

Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, and Yanjun Han. In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA: December 2023. Supplemental Material.

"Contextual Bandits with Cross-learning."

Balseiro, Santiago, Negin Golrezaei, Mohammad Mahdian, Vahab Mirrokni, and Jon Schneider. Mathematics of Operations Research Vol. 48, No. 3 (2023): 1607-1629.

"Learning Product Rankings Robust to Fake Users."

Golrezaei, Negin, Vahideh Manshadi, Jon Schneider, and Shreyas Sekar. Operations Research Vol. 71, No. 4 (2023): 1171-1196. SSRN Preprint.

"​​Multi-channel Autobidding with Budget and ROI Constraints."

Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, and Vahab Mirrokni. In Proceedings of the International Conference on Machine Learning (ICML 2023), Honolulu, HI: July 2023.

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