Journal Articles

  1. Y. Bai, P. Rusmevichientong, and H. Topaloglu, ``Joint Placement, Delivery Promise and Fulfillment in Online Retail,'' to appear in Management Science, 2025.
  2. Y. Bai, O. El Housni, P. Rusmevichientong, and H. Topaloglu, ``Coordinated Inventory Stocking and Assortment Personalization,'' to appear in Operations Research, 2025.

  3. W. Li, P. Rusmevichientong, and H. Topaloglu, ``Revenue Management with Calendar-Aware and Dependent Demands: Asymptotically Tight Fluid Approximations,'' to appear in Operations Research, 2024.

  4. M. Wang, H. Zhang, P. Rusmevichientong, and Z.-J. M. Shen, ``Optimizing Offline Product Design and Online Assortment Policy: Measuring the Relative Impact of Each Decision,'' to appear in Management Science, 2024.
  5. V. Gupta, M. Huang, and P. Rusmevichientong, ``Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization,'' Operations Research, Vol. 72, No. 2, pp. 848-870, 2024.

  6. S. Jagabathula, P. Rusmevichientong, A. Venkataraman, X. Zhao, ``Estimating Large-Scale Tree Logit Models,'' Operations Research, Vol. 72, No. 1, pp. 257-276, 2024.

  7. P. Rusmevichientong, M. Sumida, H. Topaloglu, and Y. Bai, ``Revenue Management with Heterogenous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals,'' Operations Research, Vol. 71, No. 6, pp. 2196-2216, 2023.

  8. Y. Bai, O. El Housni, B. Jin, P. Rusmevichientong, H. Topaloglu, and D. P. Williamson, ``Fluid Approximations for Revenue Management under High-Variance Demand,'' Management Science, Vol. 69, No. 7, pp. 4016-4026, 2023.

  9. Y. Cao, P. Rusmevichientong, and H. Topaloglu, ``Revenue Management under a Mixture of Multinomial Logit and Independent Demand Models,'' Operations Research, Vol. 71, No. 2, pp. 603-625, 2023.

  10. M. Sumida, G. Gallego, P. Rusmevichientong, H. Topaloglu, and J. Davis, ``Revenue-Utility Tradeoff in Assortment Optimization under the Multinomial Logit Model with Totally Unimodular Constraints,'' Management Science, Vol. 67, No. 5, pp. 2845-2869, 2021.

  11. P. Gao, Y. Ma, N. Chen, G. Gallego, A. Li, P. Rusmevichientong, and H. Topaloglu, ``Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers,'' Operations Research, Vol. 69, No. 5, pp. 1509-1532, 2021.

  12. V. Gupta and P. Rusmevichientong, ``Small-Data, Large-Scale Linear Optimization with Uncertain Objectives,'' Management Science, Vol. 67, No. 1, pp. 220-241, 2021.

  13. P. Rusmevichientong, M. Sumida, and H. Topaloglu, ``Dynamic Assortment Optimization for Reusable Products with Random Usage Durations,'' Management Science, Vol. 66, No. 7, pp. 2820-2844, 2020.

  14. Y. Ma, P. Rusmevichientong, M. Sumida, and H. Topaloglu, ``An Approximation Algorithm for Network Revenue Management under Nonstationary Arrivals,'' Operations Research, Vol. 68, No. 3, pp. 834-855, 2020.

  15. H. Zhang, P. Rusmevichientong, and H. Topaloglu, ``Assortment Optimization under the Paired Combinatorial Logit,'' Operations Research, Vol. 68, No. 3, pp. 741-761, 2020.

  16. G. James, C. Paulson, and P. Rusmevichientong, ``Penalized and Constrained Optimization: An Application to High-Dimensional Website Advertising,'' Journal of the American Statistical Association, Vol. 115, No. 529, pp. 107-122, 2020.

  17. S. Jagabathula and P. Rusmevichientong, ``The Limit of Rationality in Choice Modeling: Formulation, Computation, and Implications,'' Management Science, Vol. 65, No. 5, pp. 2196-2215, 2019.

  18. H. Zhang, P. Rusmevichientong, and H. Topaloglu, ``Multi-Product Pricing under the Generalized Extreme Value Models with Homogenous Price Sensitivity Parameters,'' Operations Research, tech. note, Vol. 66, No. 6, pp. 1559-1570, 2018.

  19. L. Y. Chu, G. Li, and P. Rusmevichientong, ``Optimal Pricing and Inventory Planning with Charitable Donations,'' Manufacturing & Service Operations Management, Vol. 20, No. 4, pp. 687-703, 2018.

  20. S. Jagabathula and P. Rusmevichientong, ``A Nonparametric Joint Assortment and Price Choice Model,'' Management Science, Vol. 63, No. 9, pp. 3128-3145, 2017.

  21. J. Li, P. Rusmevichientong, D. Simester, J. N. Tsitsiklis, and S. Zoumpoulis, ``The Value of Field Experiments,'' Management Science, Vol. 61, No. 7, pp. 1722-1740, 2015.

  22. G. Li, P. Rusmevichientong, and H. Topaloglu, ``The d-Level Nested Logit Model: Assortment and Price Optimization Problems,'' Operations Research, Vol. 63, No. 2, pp. 325-342, 2015.

  23. W. Z. Rayfield, P. Rusmevichientong, and H. Topaloglu, ``Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds,'' INFORMS Journal on Computing, Vol. 27, No. 2, pp. 335-357, 2015.

  24. F. Caro, V. Martínez-de-Albéniz, and P. Rusmevichientong, ``The Assortment Packing Problem: Multiperiod Assortment Planning for Short-Lived Products,'' Management Science, Vol. 60, No. 11, pp. 2701-2721, 2014.

  25. P. Rusmevichientong, D. B. Shmoys, C. Tong, and H. Topaloglu, ``Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters,'' Production and Operations Management, Vol. 23, No. 11, pp. 2023-2039, 2014.

  26. C. Ding, P. Rusmevichientong, and H. Topaloglu, ``Balancing Revenues and Repair Costs under Partial Information about Product Reliability,'' Production and Operations Management, Vol. 23, No. 11, pp. 1899-1918, 2014.

  27. N. Golrezaei, H. Nazerzadeh, and P. Rusmevichientong, ``Real-Time Optimization of Personalized Assortments,'' Management Science, Vol. 60, No. 6, pp. 1532-1551, 2014.

  28. G. Li and P. Rusmevichientong, ``A Greedy Algorithm for the Two-Level Nested Logit Model,'' Operations Research Letters, Vol. 42, No. 5, pp. 319-324, 2014.

  29. W. T. Huh and P. Rusmevichientong, ``Online Sequential Optimization with Biased Gradients: Theory and Applications to Censored Demand,'' INFORMS Journal on Computing, Vol. 26, No. 1, pp. 150-159, 2014.

  30. J. Broder and P. Rusmevichientong, ``Dynamic Pricing under a General Parametric Choice Model,'' Operations Research, Vol. 60, No. 4, pp. 965-980, 2012.

  31. P. Rusmevichientong and H. Topaloglu, ``Robust Assortment Optimization Under the Multinomial Logit Choice Model,'' Operations Research, Vol. 60, No. 4, pp. 865-882, 2012.

  32. W. T. Huh, R. Levi, P. Rusmevichientong, and J. B. Orlin, ``Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator,'' Operations Research, Vol. 59, No. 4, pp. 929-941, 2011.

  33. P. Rusmevichientong, Z.-J. M. Shen, and D. B. Shmoys, ``Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint,'' Operations Research, Vol. 58, No. 6, pp. 1666-1680, 2010.

  34. P. Rusmevichientong and J. N. Tsitsiklis, ``Linearly Parameterized Bandits,'' Mathematics of Operations Research, Vol. 35, No. 2, pp. 395-411, 2010.

  35. A. J. Mersereau, P. Rusmevichientong, and J. N. Tsitsiklis, ``A Structured Multiarmed Bandit Problem and the Greedy Policy,'' IEEE Transactions on Automatic Control, Vol. 54, No. 12, pp. 2787-2802, 2009.

  36. P. Rusmevichientong, Z.-J. M. Shen, and D. B. Shmoys, ``A PTAS for Capacitated Sum-of-Ratios Optimization,'' Operations Research Letters, Vol. 37, No. 4, pp. 230-238, 2009.

  37. W. T. Huh, G. Janakiraman, J. A. Muckstadt, and P. Rusmevichientong, ``Asymptotic Optimality of Order-up-to Policies in Lost Sales Inventory Systems,'' Management Science, Vol. 55, No. 3, pp. 404-420, 2009.

  38. W. T. Huh, G. Janakiraman, J. A. Muckstadt, and P. Rusmevichientong, ``An Adaptive Algorithm for Finding the Optimal Base-Stock Policy in Lost Sales Inventory Systems with Censored Demand,'' Mathematics of Operations Research, Vol. 34, No. 2, pp. 397-416, 2009.

  39. W. T. Huh and P. Rusmevichientong, ``A Non-Parametric Asymptotic Analysis of Inventory Planning with Censored Demand,'' Mathematics of Operations Research, Vol. 34, No. 1, pp. 103-123, 2009.

  40. P. Rusmevichientong, J. A. Salisbury, L. T. Truss, B. Van Roy, and P. W. Glynn, ``Opportunities and Challenges in Using Online Preference Data for Vehicle Pricing: A Case Study at General Motors,'' Journal of Revenue and Pricing Management, Vol. 5, No. 1, pp. 45-61, 2006.

  41. P. Rusmevichientong, B. Van Roy, and P. W. Glynn, ``A Nonparametric Approach to Multiproduct Pricing,'' Operations Research, Vol. 54, No. 1, pp. 82-98, 2006.

  42. P. Rusmevichientong and B. Van Roy, `` Decentralized Decision-Making in a Large Team with Local Information,'' Games and Economic Behavior , Vol. 43, No. 2, pp. 266-295, 2003.

  43. P. Rusmevichientong and B. Van Roy, ``An Analysis of Belief Propagation on the Turbo Decoding Graph with Gaussian Densities,'' IEEE Transactions on Information Theory, Vol. 47, No. 2, pp. 745-765, 2001.

Selected Conference Proceedings

  1. A. J. Mersereau, P. Rusmevichientong, and J. N. Tsitsiklis, ``A Structured Multiarmed Bandit Problem and the Greedy Policy,'' Proceedings of the 47th IEEE Conference on Decision and Control, pp. 4945-4950, December 9-11, 2008.

  2. P. Rusmevichientong and D. P. Williamson, ``An Adaptive Algorithm for Selecting Profitable Keywords for Search-Based Advertising Services,'' Proceedings of the 7th ACM Conference on Electronic Commerce, pp. 260-269, 2006. (full length version)

  3. X. Yan, P. Diaconis, P. Rusmevichientong, and B. Van Roy, ``Solitaire: Man Versus Machine,'' Advances in Neural Information Processing Systems 17, MIT Press, pp. 1553-1560, 2005.

  4. P. Rusmevichientong, S. Zhu, and D. Selinger, ``Identifying Early Buyers Using Purchase Data,'' Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 671-677, 2004.

  5. P. Rusmevichientong and B. Van Roy, ``A Tractable POMDP for a Class of Sequencing Problems,'' Proceedings of the 17th Annual Conference on Uncertainty in Artificial Intelligence (UAI-01), pp. 480-486, 2001.

  6. P. Rusmevichientong, D. M. Pennock, S. Lawrence, and C. L. Giles, ``Methods for Sampling Pages Uniformly from the World Wide Web,'' Proceedings of the AAAI Fall Symposium on Using Uncertainty Within Computation, pp. 121-128, 2001

  7. P. Rusmevichientong and B. Van Roy, ``An Analysis of Turbo Decoding with Gaussian Priors,'' Advances in Neural Information Processing Systems 12, MIT Press, pp. 575-581, 2000.

Working Papers

  1. Y. Bai, O. El Housni, P. Rusmevichientong, and H. Topaloglu, ``An Endogenous Multinomial Logit Model with Population-Based Purchase Feedback: Assortment Optimization, Pricing and Estimation''.

  2. W. Zhu, P. Rusmevichientong, and H. Topaloglu, ``A Unified Framework to Impose Market Share Constraints for Selected Product Classes: Randomized and Deterministic Assortments under the Multinomial Logit Model''.

  3. W. Li, P. Rusmevichientong, H. Topaloglu, and J. Zhang, ``History-dependent Fluid Approximations and Performance Guarantees for Revenue Management with Markov-modulated Demands''.