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Kaizheng Wang

Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University

SCHOLARLY PAPERS

7

DOWNLOADS

1,062

TOTAL CITATIONS

17

Scholarly Papers (7)

1.

The Nonstationarity-Complexity Tradeoff in Return Prediction

Number of pages: 65 Posted: 29 Dec 2025
Columbia University - Department of Industrial Engineering and Operations Research, Columbia University, Department of Industrial Engineering and Operations Research (IEOR), Students, Columbia University, Department of Industrial Engineering and Operations Research (IEOR), Students, Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University and Columbia University - Department of Industrial Engineering and Operations Research & Data Science Institute
Downloads 706 (94,189)
Citation 1

Abstract:

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Non-Stationarity, Model Complexity, Return Prediction, Model Selection, Adaptive Window Selection

2.

Factor-Adjusted Regularized Model Selection

Number of pages: 39 Posted: 03 Oct 2018
Jianqing Fan, Yuan Ke and Kaizheng Wang
Princeton University - Department of ORFE, Princeton University - Department of Operations Research & Financial Engineering (ORFE) and Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University
Downloads 255 (303,770)
Citation 16

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High dimension, Model selection consistency, Correlated covariates, Factor model, Regularized M-estimator, Time series

3.

How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective

Number of pages: 63 Posted: 26 Jan 2026 Last Revised: 15 Jun 2026
Chengpiao Huang, Yuhang Wu and Kaizheng Wang
Columbia University, Department of Industrial Engineering and Operations Research (IEOR), Students, Columbia University - Columbia Business School, Decision Risk and Operations and Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University
Downloads 50 (1,086,013)

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Synthetic data, Large language models, Uncertainty quantification, Simulation

4.

SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation

Columbia Business School Research Paper (forthcoming)
Number of pages: 39 Posted: 14 Apr 2026
Columbia University - Columbia Business School, Columbia University, Department of Industrial Engineering and Operations Research (IEOR), Students, Columbia University - Columbia Business School, Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 24 (1,459,862)

Abstract:

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Digital twin, Generative models, Large language models, Calibration, Synthetic control, Distribution shift

5.

Adaptive Querying with AI Persona Priors

Number of pages: 36 Posted: 13 May 2026 Last Revised: 30 May 2026
Kaizheng Wang, Yuhang Wu and Assaf Zeevi
Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, Columbia University - Columbia Business School, Decision Risk and Operations and Columbia University - Columbia Business School, Decision Risk and Operations
Downloads 13 (1,566,597)

Abstract:

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Adaptive querying, Large language models, Bayesian experimental design, Computerized adaptive testing, Digital twin, AI personas

6.

Model-Free Assessment of Simulator Fidelity via Quantile Curves

Number of pages: 35 Posted: 04 Feb 2026
Yu-Shiou Lin, Kaizheng Wang and Garud Iyengar
Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University and Columbia University - Department of Industrial Engineering and Operations Research (IEOR)
Downloads 8 (1,561,096)

Abstract:

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Simulation, Quantile function estimation, Human-AI alignment, Conformal inference, Output Uncertainty Quantification

7.

LLM-Powered Virtual Population for Demand Simulation and Pricing

Number of pages: 18
Chengpiao Huang and Kaizheng Wang
Columbia University, Department of Industrial Engineering and Operations Research (IEOR), Students and Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University
Downloads 6

Abstract:

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Large language models, demand simulation, pricing, risk-aware decision-making