publications

Working papers

  1. 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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  2. Income Pools for Superstar Markets
    Timothy Chan, Ningyuan Chen, and Craig Fernandes
    Working paper, 2023
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  3. 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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  4. Algorithmic decision-making safeguarded by human knowledge
    Ningyuan Chen, Ming Hu, and Wenhao Li
    Working paper, 2023
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  5. Component Pricing with Bundle Size Discount
    Ningyuan Chen, Xiaobo Li, Zechao Li, and Chun Wang
    Working paper, 2022
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  6. 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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  7. Privacy-Preserving Personalized Recommender Systems
    Xingyu Fu, Ningyuan Chen, Pin Gao, and Yang Li
    Working paper, 2022
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  8. Using Neural Networks to Guide Data-Driven Operational Decisions
    Ningyuan Chen, Saman Lagzi, and Joseph Milner
    Working paper, 2022
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  9. Simultaneous vs. Sequential Product Release
    Hojat Abdolanezhad, Ningyuan Chen, Setareh Farajollahzadeh, and Ming Hu
    Working paper, 2022
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  10. Capacitated SIR Model with an Application to COVID-19
    Ningyuan Chen, Ming Hu, and Chaoyu Zhang
    Working paper, 2020
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  11. Revenue Maximization and Learning in Products Ranking
    Ningyuan Chen, Anran Li, and Shuoguang Yang
    Working paper, 2020
    • Extended abstract accepted to the 22nd ACM Conference on Economics and Computation
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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. Can Customer Arrival Rates Be Modelled by Sine Waves?
    Ningyuan Chen, Ragıp Gürlek, Donald K. K. Lee, and Haipeng Shen
    Service Science, 2024
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  2. Learning and Optimization with Seasonal Patterns
    Ningyuan Chen, Chun Wang, and Longlin Wang
    Operations Research, 2024
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  3. Dealership or Marketplace: A Dynamic Comparison
    Guokai Li, Ningyuan Chen, Guillermo Gallego, Pin Gao, and Steven Kou
    Manufacturing & Service Operations Management, 2024
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  4. Adaptive Seamless Dose-Finding Trials
    Ningyuan Chen, and Amin Khademi
    Manufacturing & Service Operations Management, 2024
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  5. Optimal Dynamic Clearing for Interbank Payments
    Shuzhen Chen, Opher Baron, and Ningyuan Chen
    Management Science, 2024
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  6. 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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  7. Does the Prohibition of Trade-Through Hurt Liquidity Demanders?
    Ningyuan Chen, Pin Gao, and Steven Kou
    Operations Research, 2023
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  8. 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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  9. Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions
    Ningyuan Chen, and Ming Hu
    Service Science, 2023
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  10. 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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  11. Dynamic Pricing with Money-Back Guarantees
    Yan Liu, and Ningyuan Chen
    Production and Operations Management, 2022
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  12. 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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  13. Sublinear regret for learning POMDPs
    Yi Xiong, Ningyuan Chen, Xuefeng Gao, and Xiang Zhou
    Production and Operations Management, 2022
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  14. Nonparametric Pricing Analytics with Customer Covariates
    Ningyuan Chen, and Guillermo Gallego
    Operations Research, 2021
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  15. Reviews and Self-selection Bias with Operational Implications
    Ningyuan Chen, Anran Li, and Kalyan Talluri
    Management Science, 2021
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  16. 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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  17. Duopoly Competition with Network Effects in Discrete Choice Models
    Ningyuan Chen, and Ying-Ju Chen
    Operations Research, 2021
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  18. Boosted nonparametric hazards with time-dependent covariates
    Donald K. K. Lee, Ningyuan Chen, and Hemant Ishwaran
    Annals of Statistics, 2021
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  19. 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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  20. Does Loss Aversion Preclude Price Variation?
    Ningyuan Chen, and Javad Nasiry
    Manufacturing & Service Operations Management, 2020
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  21. Welfare Analysis of Dynamic Pricing
    Ningyuan Chen, and Guillermo Gallego
    Management Science, 2019
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  22. Super-resolution estimation of cyclic arrival rates
    Ningyuan Chen, Donald KK Lee, and Sahand Negahban
    The Annals of Statistics, 2019
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  23. 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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  24. Generalized PageRank on directed configuration networks
    Ningyuan Chen, Nelly Litvak, and Mariana Olvera-Cravioto
    Random Structures & Algorithms, 2017
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  25. Coupling on weighted branching trees
    Ningyuan Chen, and Mariana Olvera-Cravioto
    Advances in Applied Probability, 2016
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  26. 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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