6 papers
Optimization-based strategic planning for geographical healthcare accessibility in developing countries: a literature review
Laura Davila-Pena, Maria Paola Scaparra, Dick den Hertog
Access to healthcare facilities is a critical issue in developing countries, where limited resources and significant challenges hinder progress toward universal health coverage, on…
Linear Model Extraction via Factual and Counterfactual Queries
Daan Otto, Jannis Kurtz, Dick den Hertog +1
In model extraction attacks, the goal is to reveal the parameters of a black-box machine learning model by querying the model for a selected set of data points. Due to an increasin…
A K-adaptability Approach to Proton Radiation Therapy Robust Treatment Planning
Zihang Qiu, Ali Ajdari, Mislav BobiÄ +4
Uncertainties such as setup and range errors can significantly compromise proton therapy. A discrete uncertainty set is often constructed to represent different uncertainty scenari…
A novel exact approach to polynomial optimization
Dimitris Bertsimas, Dick den Hertog, Thodoris Koukouvinos
Polynomial optimization problems represent a wide class of optimization problems, with a large number of real-world applications. Current approaches for polynomial optimization, su…
Robust Optimization of Rank-Dependent Models with Uncertain Probabilities
Guanyu Jin, Roger J. A. Laeven, Dick den Hertog
This paper studies distributionally robust optimization for a rich class of risk measures with ambiguity sets defined by -divergences. The risk measures are allowed to be non-l…
Constructing Uncertainty Sets for Robust Risk Measures: A Composition of -Divergences Approach to Combat Tail Uncertainty
Guanyu Jin, Roger J. A. Laeven, Dick den Hertog +1
Risk measures, which typically evaluate the impact of extreme losses, are highly sensitive to misspecification in the tails. This paper studies a robust optimization approach to co…