Ningyuan Chen

Orcid: 0000-0002-3948-1011

According to our database1, Ningyuan Chen authored at least 34 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Model-Free Assortment Pricing with Transaction Data.
Manag. Sci., October, 2023

Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection.
J. Mach. Learn. Res., 2023

Influencing Factors of Executive Tenure Based on Cox Proportional Risk Regression Model.
Proceedings of the Digitalization and Management Innovation II, 2023

Allocating Divisible Resources on Arms with Unknown and Random Rewards.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
A Primal-Dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint.
Math. Oper. Res., November, 2022

Impact of Network Structure on New Service Pricing.
Math. Oper. Res., 2022

Algorithmic Decision-Making Safeguarded by Human Knowledge.
CoRR, 2022

Learning Consumer Preferences from Bundle Sales Data.
CoRR, 2022

Bridging Adversarial and Nonstationary Multi-armed Bandit.
CoRR, 2022

Enterprises Build Sustainable Innovation Loop: Take ByteDance Launching Lark as an Example.
Proceedings of the Digitalization and Management Innovation, 2022

Debiasing Samples from Online Learning Using Bootstrap.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Reviews and Self-Selection Bias with Operational Implications.
Manag. Sci., 2021

Loot Box Pricing and Design.
Manag. Sci., 2021

Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection.
Oper. Res., 2021

Nonparametric Pricing Analytics with Customer Covariates.
Oper. Res., 2021

Duopoly Competition with Network Effects in Discrete Choice Models.
Oper. Res., 2021

Sublinear Regret for Learning POMDPs.
CoRR, 2021

Distributionally Robust Prescriptive Analytics with Wasserstein Distance.
CoRR, 2021

Theory and software for boosted nonparametric hazard estimation.
Proceedings of AAAI Symposium on Survival Prediction, 2021

Revenue Maximization and Learning in Products Ranking.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Regime Switching Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-armed Bandit Requiring Monotone Arm Sequences.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Does Loss Aversion Preclude Price Variation?
Manuf. Serv. Oper. Manag., 2020

Learning and Optimization with Seasonal Patterns.
CoRR, 2020

2019
Welfare Analysis of Dynamic Pricing.
Manag. Sci., 2019

The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models.
CoRR, 2019

A Dimension-free Algorithm for Contextual Continuum-armed Bandits.
CoRR, 2019

Developing a Vehicle Networking Platform Based on Blockchain Technology.
Proceedings of the Blockchain - ICBC 2019, 2019

2018
A Partitioning Algorithm for Markov Decision Processes with Applications to Market Microstructure.
Manag. Sci., 2018

Nonparametric Learning and Optimization with Covariates.
CoRR, 2018

2017
Generalized PageRank on directed configuration networks.
Random Struct. Algorithms, 2017

2015
Ranking Algorithms on Directed Configuration Networks.
PhD thesis, 2015

Efficient simulation for branching linear recursions.
Proceedings of the 2015 Winter Simulation Conference, 2015

2014
PageRank in Scale-Free Random Graphs.
Proceedings of the Algorithms and Models for the Web Graph - 11th International Workshop, 2014


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