causal inference 1observational health data 1policy evaluation 1subgroup analysis 1unsupervised clustering 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
From Unsupervised Subgroups to Hypothetical State-Intervention Policies: An Evaluation of Selected Subgrouping Methods in Observational Health Data
Vasundhara Acharya, Bulent Yener
The paper assesses various unsupervised clustering techniques for creating subgroups from pretreatment health data to support budget-constrained policy decisions, using a causal‑di…
cs.LG2025
Exploiting Missing Data Remediation Strategies using Adversarial Missingness Attacks
Deniz Koyuncu, Alex Gittens, Bülent Yener +1
Adversarial Missingness (AM) attacks aim to manipulate model fitting by carefully engineering a missing data problem to achieve a specific malicious objective. AM attacks are signi…
eess.IV2025
Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
Sudipta Paul, Amanda W. Lund, George Jour +2
The structural and spatial arrangements of cells within tissues represent their functional states, making graph-based learning highly suitable for histopathology image analysis. Ex…