Preprints & Papers under Review

• Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders
  with M. Lin, V. Mirrokni, and H. Nazerzadeh
  Major revision, Management Science.
  Finalist for the 2018 INFORMS Data Mining Paper Competition
  

• Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
  with A. Javanmard and V. Mirrokni
  Major revision, Operations Research.
  An earlier version of this paper accepted to NeurIPS 2019.

• Auction Design for ROI-Constrained Buyers
  with I. Lobel and R. Paes Leme
  Major revision, Manufacturing & Service Operations Management.

• Product Ranking on Online Platforms
  with M. Derakhshan, V. Manshadi and V. Mirrokni
  Major revision, Management Science.
  Accepted for presentation at the MSOM Service SIG, 2018
  An earlier version of this paper was entitled "Two-stage Pandora's Box for Product Ranking."

• LP-based Approximation for Personalized Reserve Prices
  with M. Derakhshan and R. Paes Leme
  Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2019.

• Improved Approximations for Free-Order Prophets and Second-Price Auctions
  with H. Beyhaghi, R. Paes Leme, M. Pal, and B. Siva

• Contextual Bandits with Cross-learning
  with S. Balseiro, M. Mahdian, V. Mirrokni, and J. Schneider
  An earlier version of this paper accepted to NeurIPS 2019.

Journal Papers

• Dynamic Pricing for Heterogeneous Time-Sensitive Customers
  with H. Nazerzadeh and R. Randhawa
  Manufacturing & Service Operations Management, forthcoming.

• Auctions with Dynamic Costly Information Acquisition
  with H. Nazerzadeh
  Operations Research, Volume 65, Issue 1, pp. 130 - 144, 2016.
  Presented in Ad Auctions Workshop of 15th ACM Conference on Economics and Computation (EC14), Palo Alto, California, June 8-12, 2014.

• Real-time Optimization of Personalized Assortments
  with H. Nazerzadeh and P. Rusmevichientong
  Management Science, Volume 60, Issue 6, pp. 1532 - 1551, 2014.
  Finalist for the 2016 MSOM Student Paper Competition
  Finalist for the 2017 POMS Supply Chain Management College Student Paper Competition
  A preliminary version appeared in the Proceedings of the 14th ACM Conference on Electronic Commerce (EC13), Philadelphia, PA, June 16-20, 2013.

• Scaling Behaviors of Wireless Device-to-Device Communications with Distributed Caching
  with A.G. Dimakis and A.F. Molisch
  IEEE Transactions on Information Theory, Volume 60, Issue 7, pp. 4286 - 4298, 2014.
  A preliminary version appeared in the proceeding of IEEE International Symposium on Information Theory (ISIT), pp. 2781- 2785, Cambridge, MA, July 1-6, 2012.

• Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks
  with P. Mansourifard, A.F. Molisch, and A.G. Dimakis
  IEEE Transactions on Wireless Communications, Volume 13, Issue 7, pp. 3665 - 3676, 2014.
  A preliminary version appeared in the proceeding of IEEE International Conference on Communications (ICC), pp. 7077 - 7081, Ottawa, ON, June 10-15, 2012.

• FemtoCaching: Wireless Video Content Delivery through Distributed Caching Helpers
  with K. Shanmugam, A.G. Dimakis, A.F. Molisch, and G. Caire
  IEEE Transactions on Information Theory, Volume 59, Issue 12, pp. 8402 - 8413, 2013.
  A preliminary version appeared in the proceeding of International Conference on Computer Communications (INFOCOM), pp. 1107 - 1115, Orlando, FL, Mar. 25-30, 2012.

• Device-to-Device Collaboration: A New Architecture for Wireless Video Distribution
  with A.F. Molisch, A.G. Dimakis, and G. Caire
  IEEE Communications Magazine, Volume 51, Issue 4, pp. 142 - 149, 2013.

Ph.D. Thesis

• Efficient Policies and Mechanisms for Online Platforms
  George B. Dantzig Dissertation Award (2017)
  INFORMS Revenue Management and Pricing Section Dissertation Prize (2017)
  Elwood S. Buffa Doctoral Dissertation Award (2018)
  University of Southern California (USC) Ph.D. Achievement Award (2017)
  

Negin Golrezaei is an Assistant 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 fellow 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. She is the recipient of the 2018 Google Faculty Research Award; 2017 George B. Dantzig Dissertation Award; the INFORMS Revenue Management and Pricing Section Dissertation Prize; University of Southern California (USC) Ph.D. Achievement Award (2017), and USC CAMS Graduate Student Prize, for excellence in research with a substantial mathematical component (2017), 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.