Papers

A collection of research papers I've read and found insightful.

  1. Convexification of multi-period quadratic programs with indicators
    Jisun Lee, Andrés Gómez, and Alper Atamtürk
    arXiv preprint arXiv:2412.17178, 2024
    Review
  2. Building representative matched samples with multi-valued treatments in large observational studies
    Magdalena Bennett, Juan Pablo Vielma, and José R Zubizarreta
    Journal of Computational and Graphical Statistics, 2020
    Paper Review
  3. Robust classification
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, and Ying Daisy Zhuo
    INFORMS Journal on Optimization, 2019
  4. Best Subset Selection via a Modern Optimization Lens
    Dimitris Bertsimas, Angela King, and Rahul Mazumder
    The Annals of Statistics, Apr 2016
    Review
  5. Performance Guarantees for Individualized Treatment Rules
    Min Qian, and Susan A. Murphy
    The Annals of Statistics, Apr 2011
    Paper Review