Diagnosing Model Performance Under Distribution Shift
成果类型:
Article; Early Access
署名作者:
Cai, Tiffany (Tianhui); Namkoong, Hongseok; Yadlowsky, Steve
署名单位:
Columbia University; Columbia University; Alphabet Inc.; DeepMind
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.2023.0217
发表日期:
2025
关键词:
global sensitivity-analysis
propensity score
Covariate Shift
robust
inference
optimization
CONVERGENCE
IMPACT
rates
摘要:
This article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval, unless otherwise noted. For more information, contact permissions@informs.org. The Publisher does not warrant or guarantee the article's accuracy, completeness, merchantability, fitness inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support