Publications

  1. Hospital-wide Patient Flow Optimization
    In preparation, 2020, with Dimitris Bertsimas
  2. Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality [Optimization Online] [arXiv]
    Submitted to Mathematical Programming, 2020, with Dimitris Bertsimas and Ryan Cory-Wright
  3. Probabilistic guarantees in Robust Optimization [Optimization Online]
    Submitted to Mathematical Programming, 2020, with Dimitris Bertsimas and Dick den Hertog
  4. Predicting inpatient flow at a major hospital using interpretable analytics [MedRxiv]
    Major revision at Manufacturing & Service Operations Management, 2020, with Dimitris Bertsimas, Jennifer Stevens, and Manu Tandon
  5. A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms [ArXiv]
    Submitted to Operations Research, 2019, with Dimitris Bertsimas and Ryan Cory-Wright
  6. Sparse Classification: a scalable discrete optimization perspective [ArXiv] [Code]
    Submitted to Operations Research, 2018, with Dimitris Bertsimas and Bart Van Parys
  7. Sparse Regression: scalable algorithms and empirical performance [ArXiv] [Code]
    To appear in Statistical Science, 2019, with Dimitris Bertsimas and Bart Van Parys
  8. Certifiably Optimal Sparse Inverse Covariance Estimation [ArXiv]
    Mathematical Programming, 2019, with Dimitris Bertsimas and Jourdain Lamperski
  9. A tractable numerical strategy for robust MILP and application to energy management
    IEEE 55th Conference on Decision and Control (CDC 2016), with Laurent El Ghaoui, Damien Faille, and Diego Kiener

⟵ Back