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
Conventional subgroup analyses can yield unstable and difficult-to-interpret conclusions, especially in observational biomedical data where each individual is observed under only o…
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…
cs.LG2024
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…