"Auction Design using Value Prediction with Hallucinations," I. Lobel, H. Moreira and O. Mouchtaki.
"Signaling Competition in Two-Sided Markets," O. Besbes, Y. Fonseca, I. Lobel and F. Zheng.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2023.
2023 RMP Jeff McGill Best Student Paper Award, Second Place. (Y. Fonseca)
2024 MSOM Best Student Paper Award, Second Place. (Y. Fonseca)
"On the Supply of Autonomous Vehicles in Platforms," D. Freund, I. Lobel and K. Zhao.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2024.
"Reducing Marketplace Interference Bias Via Shadow Prices," I. Bright, A. Delarue and I. Lobel, Management Science, forthcoming.
Featured article.
Associated Lyft blog post.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2023.
"Detours in Shared Rides," I. Lobel and S. Martin, Management Science, vol. 71, no. 2, pp. 1716-1736, 2025.
"Contextual Inverse Optimization: Offline and Online Learning," O. Besbes, Y. Fonseca and I. Lobel, Operations Research, vol. 73, no. 1, pp. 424-443, 2025.
An earlier version that includes some of these results appeared as a working paper at the Conference on Learning Theory (COLT), 2021, with the title "Online Learning from Optimal Actions."
"Employees versus Contractors: An Operational Perspective," I. Lobel, S. Martin and H. Song, M&SOM, vol. 26, no. 4, pp. 1306–1322, 2024.
Frontiers in Operations Initiative.
An earlier version of this paper was entitled "Employees, Contractors, or Hybrid: An Operational Perspective."
"Managing Customer Churn via Service Mode Control," Y. Kanoria, I. Lobel and J. Lu, Mathematics of Operations Research, vol. 42, no. 2, pp. 1192-1222, 2024.
"Minimum Earnings Regulation and the Stability of Marketplaces," A. Asadpour, I. Lobel and G. van Ryzin, M&SOM, vol. 25, no. 1, pp. 254-265, 2023.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2020.
"Spatial Capacity Planning," O. Besbes, F. Castro and I. Lobel, Operations Research, vol. 70, no. 2, pp. 1271-1291, 2022.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2019.
"Revenue Management and the Rise of the Algorithmic Economy," I. Lobel, Management Science, vol. 67, no. 9, pp. 5389-5398, 2021.
"Surge Pricing and its Spatial Supply Response," O. Besbes, F. Castro and I. Lobel, Management Science, vol. 67, no. 3, pp. 1350-1367, 2021.
Featured article. Associated article in Management Science Review.
Winner of the 2024 Revenue Management and Pricing Section Prize.
"Auction Design for ROI-Constrained Buyers," N. Golrezaei, I. Lobel and R. Paes Leme, Proceedings of the Web Conference (WWW), 2021.
"Feature-based Dynamic Pricing," M. Cohen, I. Lobel and R. Paes Leme, Management Science, vol. 66, no. 11, pp. 4921-5484, 2020.
Lead article.
Winner of the 2024 Revenue Management and Pricing Section Prize.
Associated article in SIGecom Exchanges.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2016.
Online appendix.
"Dynamic Pricing with Heterogeneous Patience Levels," I. Lobel, Operations Research,
technical note, vol. 68, no. 4, pp. 1038-1046, 2020.
Winner of the 2024 Revenue Management and Pricing Section Prize.
"Dynamic Contracting under Positive Commitment," I. Lobel and R. Paes Leme, Proceedings of Conference on Artificial Intelligence (AAAI), pp. 2101-2108, 2019.
An earlier version of this paper was entitled "Dynamic Mechanism Design under Positive Commitment."
"Multidimensional Binary Search for Contextual Decision-Making," I. Lobel, R. Paes Leme and A. Vladu, Operations Research, vol. 66, no. 5, pp. 1346-1361, 2018.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2017.
"Customer Referral Incentives and Social Media," I. Lobel, E. Sadler and L. Varshney, Management Science, vol. 63, no. 10, pp. 3514-3529, 2017.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2015.
Online appendix.
"Optimal Long-Term Supply Contracts with Asymmetric Demand Information," I. Lobel and W. Xiao, Operations Research, technical note, vol. 65, no. 5, pp. 1275-1284, 2017.
Online appendix.
"Intertemporal Pricing under Minimax Regret," R. Caldentey, Y. Liu and I. Lobel, Operations Research, vol. 65, no. 1, pp. 104-129, 2017.
An earlier version of this paper was entitled "Intertemporal Pricing without Priors."
Online appendix.
"Preferences, Homophily, and Social Learning," I. Lobel and E. Sadler, Operations Research, vol. 64, no. 3, pp. 564-584, 2016.
"Optimizing Product Launches in the Presence of Strategic Consumers," I. Lobel, J. Patel, G. Vulcano and J. Zhang, Management Science, vol. 62, no. 6, pp. 1778-1799, 2016.
Winner of the 2021 INFORMS Technology, Innovation Management and Entrepreneurship Best Paper Award.
Online appendix.
"Information Diffusion in Networks Through Social Learning," I. Lobel and E. Sadler, Theoretical Economics, vol. 10, no. 3, pp. 807-851, 2015.
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2013.
An earlier version of this paper was entitled "Social Learning and Aggregate Network Uncertainty."
"Intertemporal Price Discrimination: Structure and Computation of Optimal Policies," O. Besbes and I. Lobel, Management Science, vol. 61, no. 1, pp. 92-110, 2015.
Finalist of the 2018 Best OM Paper in Management Science Award.
Online appendix.
"Optimal Multiperiod Pricing with Service Guarantees," C. Borgs, O. Candogan, J. Chayes, I. Lobel and H. Nazerzadeh, Management Science, vol. 60, no. 7, pp. 1792-1811, 2014.
Appeared as a working paper at Workshop on Internet and Network Economics (WINE), 2011.
Online appendix.
"Optimal Dynamic Mechanism Design and the Virtual Pivot Mechanism," S. Kakade, I. Lobel and H. Nazerzadeh, Operations Research, vol. 61, no. 3, pp. 837-854, 2013.
Winner of the 2014 Revenue Management and Pricing Section Prize.
Associated article in SIGecom Exchanges.
An earlier version of this paper was entitled "An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes."
Online appendix.
"Bayesian Learning in Social Networks," D. Acemoglu, M. Dahleh, I. Lobel and A. Ozdaglar, The Review of Economic Studies, vol. 78, no. 4, pp. 1201-1236, 2011.
Most cited paper in 2013 published in The Review of Economics Studies in 2011 or 2012.
Online appendix.
"Distributed Multi-Agent Optimization with State-Dependent Communication," I. Lobel, A. Ozdaglar and D. Feijer, Mathematical Programming, vol. 129, no. 2, pp. 255-284, 2011.
Online appendix.
"Distributed Subgradient Methods for Convex Optimization over Random Networks," I. Lobel and A. Ozdaglar. IEEE Transactions on Automatic Control, vol. 56, no. 6, pp. 1291-1306, 2011.
Conference version in Allerton Conference on Communication, Control and Computing.
"Rate of Convergence of Learning in Social Networks," I. Lobel, D. Acemoglu, M. Dahleh and A. Ozdaglar, Proceedings of the American Control Conference (ACC), 2009.