Yonatan Gur

Associate Professor of Operations, Information & Technology at Stanford Graduate School of Business

Schools

  • Stanford Graduate School of Business

Expertise

Links

Biography

Stanford Graduate School of Business

Yonatan Gur is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business. His research interests are in the intersection of stochastic optimization and game theory, with applications in revenue management and service operations. He studies principles and data-driven algorithms for non-stationary dynamic optimization problems, and their implications on market design, experiment design, and service provision in a variety of online markets and platforms. His research has been recognized by several awards, including the Informs 2019 Lanchester Prize.

Yonatan has taught core MBA and MSx courses in Operations Management and Strategy, and Ph.D. courses in data-driven dynamic optimization.

Prior to joining Stanford, Yonatan received his PhD in Decision, Risk, and Operations from Columbia Business School. He also holds a B.Sc. degree from the School of Physics and Astronomy and an M.Sc. from the School of Mathematical Sciences, Tel Aviv University.

Education

  • Doctor of Philosophy (Ph.D.) Columbia University - Columbia Business School (2009 — 2014)
  • Master of Science (M.Sc.) Tel Aviv University - School of Mathematical Sciences (2007 — 2009)
  • Bachelor of Science (B.Sc.) Tel Aviv University - School of Physics and Astronomy (2003 — 2007)

Companies

  • Associate Professor Stanford University Graduate School of Business (2019)
  • Assistant Professor Stanford Graduate School of Business (2014 — 2019)
  • Research Scientist (contractor) Facebook (2016 — 2018)
  • Software Engineer Paradigm Geophysical (2007 — 2009)

Awards and Honors

  • Lanchester Prize, 2019
  • Informs Junior Faculty Interest Group Best Paper Award, honorable mention, 2018
  • Louise and Claude N. Rosenberg Jr. Faculty Scholar for 2016–17
  • M&SOM Society Student Paper Award, first prize, 2014
  • Informs G. Nicholson Student Paper Award, honorable mention, 2013
  • Deming Doctoral Fellowship, W. E. Deming Center for Quality Productivity and Competitiveness, 2012
  • Eugene M. Lang Support Fund Grant, Columbia Business School, 2011

Publications

Journal Articles

  • Sequential Procurement with Contractual and Experimental Learning
    Yonatan Gur, Gregory Macnamara, Daniela Saban Management Science (forthcoming) 2021
  • Smoothness-adaptive Contextual Bandits
    Yonatan Gur, Ahmadreza Momeni, Stefan Wager Operations Research (forthcoming) 2021
  • Value Loss in Allocation Systems with Provider Guarantees
    Yonatan Gur, Dan A. Iancu, Xavier Warnes Management Science 2021 Vol. 67 Issue 6 Pages 3757–3784
  • Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium
    Santiago Balseiro, Yonatan Gur Management Science 2019 Vol. 65 Issue 9 Pages 3952-3968
  • Optimal Exploration-Exploitation in a Multi-Armed Bandit Problem with Non-Stationary Rewards
    Omar Besbes, Yonatan Gur, Assaf Zeevi Stochastic Systems 2019 Vol. 9 Issue 4 Pages 319-337
  • Adaptive Learning with Unknown Information Flows
    Yonatan Gur, Ahmadreza Momeni Advances in Neural Information Processing Systems (NeurIPS) 2018 Vol. 31 Pages 7473-7482
  • The Competitive Facility Location Problem in a Duopoly: Advances Beyond Trees
    Yonatan Gur, Daniela Saban, Nicolas Stier-Moses Operations Research 2018 Vol. 66 Issue 4 Pages 1058-1067
  • Framework Agreements in Procurement: An Auction Model and Design Recommendations
    Yonatan Gur, ‪Lijian Lu, Gabriel Weintraub Manufacturing & Service Operations Management September 2017 Vol. 19 Issue 4 Pages 586-603
  • Optimization in Online Content Recommendation Services: Beyond Click-Through Rates
    Omar Besbes, Yonatan Gur, Assaf Zeevi Manufacturing & Service Operations Management 2016 Vol. 18 Issue 1 Pages 15-33
  • Non-stationary Stochastic Optimization
    Omar Besbes, Yonatan Gur, Assaf Zeevi Operations Research 2015 Vol. 63 Issue 5 Pages 1227-1244
  • Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
    Omar Besbes, Yonatan Gur, Assaf Zeevi Advances in Neural Information Processing Systems (NIPS) 2014 Vol. 27 Pages 199-207

Working Papers

  • Adaptive Sequential Experiments with Unknown Information Arrival Processes
    Yonatan Gur, Ahmadreza Momeni 2021
  • On the Disclosure of Promotion Value in Platforms with Learning Sellers
    Yonatan Gur, Gregory Macnamara, Daniela Saban 2020

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