publications

Working papers

  1. Design Experiments to Compare Multi-Armed Bandit Algorithms
    Huiling Meng, Ningyuan Chen, and Xuefeng Gao
    Working paper, 2026
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  2. Solving Assortment Optimization with First-Order Methods and Neural Networks: A Computational Framework and Public Benchmark
    Qing Guo, Saman Lagzi, Chenhao Wang, Ningyuan Chen, Guillermo Gallego, and 3 more authors
    Working paper, 2025
    • First Prize, Best Student Paper Competition of POMS-HK 2026
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  3. Post-Estimation Adjustments in Data-Driven Decision-Making with Applications in Pricing
    Michael Albert, Max Biggs, Ningyuan Chen, and Guan Wang
    Working paper, 2025
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  4. Assortment Optimization without Prediction: An End-to-End Framework with Transaction Data
    Ningyuan Chen, Andre Augusto Cire, Pin Gao, and Shaoyu Wang
    Working paper, 2025
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  5. Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
    Huiling Meng, Ningyuan Chen, and Xuefeng Gao
    Working paper, 2024
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  6. Is Thompson Sampling Susceptible to Algorithmic Collusion?
    Yi Xiong, Ningyuan Chen, and Xuefeng Gao
    Working paper, 2024
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  7. Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions
    Ningyuan Chen, Pin Gao, Chenhao Wang, and Yao Wang
    Working paper, 2023
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  8. Component Pricing with Bundle Size Discount
    Ningyuan Chen, Xiaobo Li, Zechao Li, and Chun Wang
    Working paper, 2022
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  9. Learning Consumer Preferences from Bundle Sales Data
    Ningyuan Chen, Setareh Farajollahzadeh, and Guan Wang
    Working paper, 2022
    • CORS 2023 Best Student Paper Award
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  10. Simultaneous vs. Sequential Product Release
    Hojat Abdolanezhad, Ningyuan Chen, Setareh Farajollahzadeh, and Ming Hu
    Working paper, 2022
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  11. Capacitated SIR Model with an Application to COVID-19
    Ningyuan Chen, Ming Hu, and Chaoyu Zhang
    Working paper, 2020
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  12. The Use of Binary Choice Forests to Model and Estimate Discrete Choices
    Ningyuan Chen, Guillermo Gallego, and Zhuodong Tang
    Working paper, 2019
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Journal publications

  1. Income Pools for Superstar Markets
    Timothy C. Y. Chan, Ningyuan Chen, and Craig Fernandes
    Management Science, 2026
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  2. Revenue Maximization and Learning in Product Ranking
    Ningyuan Chen, Anran Li, and Shuoguang Yang
    Operations Research, 2026
    • Extended abstract accepted to the 22nd ACM Conference on Economics and Computation
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  3. Deep Reinforcement Learning for Online Assortment Customization: A Data-Driven Approach
    Tao Li, Chenhao Wang, Yao Wang, Shaojie Tang, and Ningyuan Chen
    Production and Operations Management, 2026
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  4. Decision Making with Side Information: A Causal Transport Robust Approach
    Jincheng Yang, Luhao Zhang, Ningyuan Chen, Rui Gao, and Ming Hu
    Operations Research, 2026
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  5. Using Neural Networks to Guide Data-Driven Operational Decisions
    Ningyuan Chen, Saman Lagzi, and Joseph Milner
    Management Science, 2026
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  6. Algorithmic Decision-Making Safeguarded by Human Knowledge
    Ningyuan Chen, Ming Hu, and Wenhao Li
    Naval Research Logistics, 2026
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  7. Learning and Optimization with Seasonal Patterns
    Ningyuan Chen, Chun Wang, and Longlin Wang
    Operations Research, 2025
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  8. Optimal Dynamic Clearing for Interbank Payments
    Shuzhen Chen, Opher Baron, and Ningyuan Chen
    Management Science, 2025
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  9. Privacy-Preserving Personalized Recommender Systems
    Xingyu Fu, Ningyuan Chen, Pin Gao, and Yang Li
    Manufacturing & Service Operations Management, 2025
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  10. Bridging Adversarial and Nonstationary Multi-Armed Bandit
    Ningyuan Chen, Shuoguang Yang, and Hailun Zhang
    Production and Operations Management, 2025
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  11. Can Customer Arrival Rates Be Modelled by Sine Waves?
    Ningyuan Chen, Ragıp Gürlek, Donald K. K. Lee, and Haipeng Shen
    Service Science, 2024
    DOI HTML PDF
  12. Dealership or Marketplace with Fulfillment Services: A Dynamic Comparison
    Guokai Li, Ningyuan Chen, Guillermo Gallego, Pin Gao, and Steven Kou
    Manufacturing & Service Operations Management, 2024
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  13. Adaptive Seamless Dose-Finding Trials
    Ningyuan Chen and Amin Khademi
    Manufacturing & Service Operations Management, 2024
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  14. Model-Free Assortment Pricing with Transaction Data
    Ningyuan Chen, Andre Cire, Ming Hu, and Saman Lagzi
    Management Science, 2023
    • 2022 Jeff McGill Best Student Paper Award Finalist in revenue management
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  15. Does the Prohibition of Trade-Through Hurt Liquidity Demanders?
    Ningyuan Chen, Pin Gao, and Steven Kou
    Operations Research, 2023
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  16. Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
    Wenhao Li, Ningyuan Chen, and L Jeff Hong
    Journal of Machine Learning Research, 2023
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  17. Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions
    Ningyuan Chen and Ming Hu
    Service Science, 2023
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  18. Impact of Network Structure on New Service Pricing
    Saed Alizamir, Ningyuan Chen, Sang-Hyun Kim, and Vahideh Manshadi
    Mathematics of Operations Research, 2022
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  19. Dynamic Pricing with Money-Back Guarantees
    Yan Liu and Ningyuan Chen
    Production and Operations Management, 2022
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  20. A Primal-Dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint
    Ningyuan Chen and Guillermo Gallego
    Mathematics of Operations Research, 2022
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  21. Sublinear Regret for Learning POMDPs
    Yi Xiong, Ningyuan Chen, Xuefeng Gao, and Xiang Zhou
    Production and Operations Management, 2022
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  22. Nonparametric Pricing Analytics with Customer Covariates
    Ningyuan Chen and Guillermo Gallego
    Operations Research, 2021
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  23. Reviews and Self-Selection Bias with Operational Implications
    Ningyuan Chen, Anran Li, and Kalyan Talluri
    Management Science, 2021
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  24. Loot Box Pricing and Design
    Ningyuan Chen, Adam Elmachtoub, Michael Hamilton, and Xiao Lei
    Management Science, 2021
    • 2019 INFOMRS IBM Best Student Paper Award in service science
    • Extended abstract accepted to the 21st ACM Conference on Economics and Computation
    • Invited for presentation at a workshop organized by the Federal Trade Commission
    • Covered by UTM News
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  25. Duopoly Competition with Network Effects in Discrete Choice Models
    Ningyuan Chen and Ying-Ju Chen
    Operations Research, 2021
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  26. Boosted Nonparametric Hazards with Time-Dependent Covariates
    Donald K. K. Lee, Ningyuan Chen, and Hemant Ishwaran
    Annals of Statistics, 2021
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  27. Assortment Optimization and Pricing under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection
    Pin Gao, Yuhang Ma, Ningyuan Chen, Guillermo Gallego, Anran Li, and 2 more authors
    Operations Research, 2021
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  28. Does Loss Aversion Preclude Price Variation?
    Ningyuan Chen and Javad Nasiry
    Manufacturing & Service Operations Management, 2020
    DOI HTML PDF Supp
  29. Welfare Analysis of Dynamic Pricing
    Ningyuan Chen and Guillermo Gallego
    Management Science, 2019
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  30. Super-Resolution Estimation of Cyclic Arrival Rates
    Ningyuan Chen, Donald KK Lee, and Sahand Negahban
    The Annals of Statistics, 2019
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  31. A Partitioning Algorithm for Markov Decision Processes with Applications to Market Microstructure
    Ningyuan Chen, Steven Kou, and Chun Wang
    Management Science, 2018
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  32. Generalized PageRank on Directed Configuration Networks
    Ningyuan Chen, Nelly Litvak, and Mariana Olvera-Cravioto
    Random Structures & Algorithms, 2017
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  33. Coupling on Weighted Branching Trees
    Ningyuan Chen and Mariana Olvera-Cravioto
    Advances in Applied Probability, 2016
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  34. Directed Random Graphs with Given Degree Distributions
    Ningyuan Chen and Mariana Olvera-Cravioto
    Stochastic Systems, 2013
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Conference proceedings

  1. Allocating Divisible Resources on Arms with Unknown and Random Rewards
    Wenhao Li and Ningyuan Chen
    In Proceedings of Thirty Sixth Conference on Learning Theory, 2023
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  2. Debiasing Samples from Online Learning Using Bootstrap
    Ningyuan Chen, Xuefeng Gao, and Yi Xiong
    In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 2022
    • Accepted for oral presentation at AISTAT 2022 (<4% acceptance rate)
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  3. Theory and Software for Boosted Nonparametric Hazard Estimation
    Donald Lee, Ningyuan Chen, Hemant Ishwaran, Xiaochen Wang, Arash Pakbin, and 2 more authors
    In Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications, 2021
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  4. Multi-Armed Bandit Requiring Monotone Arm Sequences
    Ningyuan Chen
    In Advances in Neural Information Processing Systems, 2021
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  5. Regime Switching Bandits
    Xiang Zhou, Yi Xiong, Ningyuan Chen, and Xuefeng GAO
    In Advances in Neural Information Processing Systems, 2021
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  6. Efficient Simulation for Branching Linear Recursions
    Ningyuan Chen and Mariana Olvera-Cravioto
    In 2015 Winter Simulation Conference (WSC), 2015
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  7. PageRank in Scale-Free Random Graphs
    Ningyuan Chen, Nelly Litvak, and Mariana Olvera-Cravioto
    In International Workshop on Algorithms and Models for the Web-Graph, 2014
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