"Learning Product Rankings Robust to Fake Users."

Negin Golrezaei, Vahideh Manshadi, Jon Schneider, and Shreyas Sekar. In EC '21: Proceedings of the 22nd ACM Conference on Economics and Computation, New York, NY: July 2021. Download Paper.

"Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization."

Rad Niazadeh, Negin Golrezaei, Joshua Wang, Fransisca Susan, and Ashwinkumar Badanidiyuru. In Proceedings of the 22nd ACM Conference on Economics and Computation, New York, NY: July 2021. Download Paper.

"Auction Design for ROI-Constrained Buyers."

Negin Golrezaei, Ilan Lobel, and Renato Paes Leme. In WWW '21: Proceedings of the Web Conference 2021, New York, NY: April 2021. SSRN.

"Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions."

Golrezaei, Negin, Adel Javanmard, and Vahab Mirrokni. Operations Research Vol. 69, No. 1 (2021): 297-314. SSRN Preprint.

"No-regret Learning in Price Competitions under Consumer Reference Effects."

Negin Golrezaei, Patrick Jaillet, and Jason Cheuk Nam Liang. In Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS), edited by H. Larochelle, H. Lin, M. Ranzato, M.F. Balcan, and R. Hadsell. Vancouver, Canada: December 2020. Supplemental Material.

"​Dynamic Pricing for Heterogeneous Time-Sensitive Customers."

Golrezaei, Negin, Hamid Nazerzadeh, and Ramandeep S. Randhawa. Manufacturing and Service Operations Management Vol. 22, No. 3 (2020): 562-581. SSRN.