Chen, Xi

17 catalog papers. Name-matched publications do not establish a verified researcher identity.

Stern School of Business, New York University, New York, NY

Publications

• Data-Driven Knowledge Transfer in BatchQ* Learning — Journal of the American Statistical Association 2026 (name-matched, not ORCID-linked)
• Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent — Journal of the American Statistical Association (name-matched, not ORCID-linked)
• Content Success vs. Follower Growth: Unpacking the Dual Impact of Collaborative Creation on Creator Performance — Journal of the Association for Information Systems 2026 (name-matched, not ORCID-linked)
• Boosting Multi-agent Reinforcement Learning via Contextual Prompting — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data — Journal of Accounting Research 2022 (name-matched, not ORCID-linked)
• No Weighted-Regret Learning in Adversarial Bandits with Delays — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Distributed High-dimensional Regression Under a Quantile Loss Function — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Dynamic Assortment Optimization with Changing Contextual Information — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Distributed Inference for Linear Support Vector Machine — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• On Bayes Risk Lower Bounds — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)