Qingshi Sun – Optimization Online

Mixed-Feature Logistic Regression Robust to Distribution Shifts

Published: 2025/05/24

Applications - OR and Management Sciences, Integer Programming, Robust Optimization distribution shifts, distributionally robust optimization (DRO), mixed integer optimization, robust machine learning

Logistic regression models are widely used in the social and behavioral sciences and in high-stakes domains, due to their simplicity and interpretability properties. At the same time, such domains are permeated by distribution shifts, where the distribution generating the data changes between training and deployment. In this paper, we study a distributionally robust logistic regression … Read more

Responsible Machine Learning via Mixed-Integer Optimization

Published: 2025/05/09, Updated: 2025/08/30

Applications - OR and Management Sciences, Integer Programming, Optimization in Data Science causal inference, fair machine learning, interpretable machine learning, machine learning robust to adversarial attacks, machine learning robust to distribution shifts, mixed integer optimization, robust optimization

In the last few decades, Machine Learning (ML) has achieved significant success across domains ranging from healthcare, sustainability, and the social sciences, to criminal justice and finance. But its deployment in increasingly sophisticated, critical, and sensitive areas affecting individuals, the groups they belong to, and society as a whole raises critical concerns around fairness, transparency … Read more