Khai X. Chiong
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  • Courses
    • MECO 7312
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    • Generative AI and Job Satisfaction: Evidence from Glassdoor Employee Reviews
    • Getting the Most Out of Online A/B Tests Using the Minimax-Regret Criteria
    • Learning Heterogeneity from Unstructured Data: An Application to Chatbot Personalization
    • Mass Shootings and Their Impact on Retail
    • Stability of Procurement Networks
    • Can AI and AI‑Hybrids Detect Persuasion Skills? Salesforce Hiring with Conversational Video Interviews
    • Combining Choices and Response Times in the Field: A Drift‑Diffusion Model of Mobile Advertisements
    • Estimation of High‑Dimensional Seemingly Unrelated Regression Models
    • Counterfactual Estimation in Semiparametric Discrete‑Choice Models
    • Random Projection Estimation of Discrete-Choice Models with Large Choice Sets
    • Estimation of Graphical Models using the ℓ₁,₂ Norm
    • Duality in Dynamic Discrete Choice Models
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Getting the Most Out of Online A/B Tests Using the Minimax-Regret Criteria

Apr 26, 2026·
Joonhwi Joo
,
Khai Chiong
· 1 min read
PDF
Type
2
Publication
Management Science, forthcoming
publications

Accepted and forthcoming in Management Science.

Last updated on Apr 26, 2026
Online Experiments A/B Testing
← Generative AI and Job Satisfaction: Evidence from Glassdoor Employee Reviews Apr 26, 2026
Learning Heterogeneity from Unstructured Data: An Application to Chatbot Personalization Apr 26, 2026 →

© 2026 Khai X. Chiong. This work is licensed under CC BY NC ND 4.0

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