A tractable numerical strategy for robust MILP and application to energy management. - Jean Pauphilet; Diego Kiner; Damien Faille; Laurent El Ghaoui (CDC, 2016)

A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (CoRR, 2019)

Certifiably optimal sparse inverse covariance estimation. - Dimitris Bertsimas; Jourdain B. Lamperski; Jean Pauphilet (Math. Program., 2020)

Prediction with Missing Data. - Dimitris Bertsimas; Arthur Delarue; Jean Pauphilet (CoRR, 2021)

Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries. - Hanyu Gao; Jean Pauphilet; Thomas J. Struble; Connor W. Coley; Klavs F. Jensen (J. Chem. Inf. Model., 2021)

Sparse classification: a scalable discrete optimization perspective. - Dimitris Bertsimas; Jean Pauphilet; Bart P. G. Van Parys (Mach. Learn., 2021)

A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (SIAM J. Optim., 2021)

Probabilistic Guarantees in Robust Optimization. - Dimitris Bertsimas; Dick den Hertog; Jean Pauphilet (SIAM J. Optim., 2021)

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. - Julien Grand-Clément; Jean Pauphilet (CoRR, 2022)

Sparse PCA With Multiple Components. - Ryan Cory-Wright; Jean Pauphilet (CoRR, 2022)

Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (J. Mach. Learn. Res., 2022)

Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics. - Dimitris Bertsimas; Jean Pauphilet; Jennifer P. Stevens; Manu Tandon (Manuf. Serv. Oper. Manag., 2022)

Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (Oper. Res., 2022)

Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. - Dimitris Bertsimas; Ryan Cory-Wright; Sean Lo; Jean Pauphilet (CoRR, 2023)

Patient Outcome Predictions Improve Operations at a Large Hospital Network. - Liangyuan Na; Kimberly Villalobos Carballo; Jean Pauphilet; Ali Haddad-Sisakht; Daniel Kombert; Melissa Boisjoli-Langlois; Andrew Castiglione; Maram Khalifa; Pooja Hebbal; Barry Stein; Dimitris Bertsimas (CoRR, 2023)

Robust convex optimization: A new perspective that unifies and extends. - Dimitris Bertsimas; Dick den Hertog; Jean Pauphilet; Jianzhe Zhen (Math. Program., 2023)

A new perspective on low-rank optimization. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (Math. Program., 2023)

Publisher Correction to: A new perspective on low-rank optimization. - Dimitris Bertsimas; Ryan Cory-Wright; Jean Pauphilet (Math. Program., 2023)

Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital. - Liangyuan Na; Jean Pauphilet; Ali Haddad-Sisakht; Louis Raison; Audrey Silver; Patricia Veronneau; Nicole Vogt; Dimitris Bertsimas (INFORMS J. Appl. Anal., 2024)

Minkowski Centers via Robust Optimization: Computation and Applications. - Dick den Hertog; Jean Pauphilet; Mohamed Yahya Soali (Oper. Res., 2024)

Hospital-Wide Inpatient Flow Optimization. - Dimitris Bertsimas; Jean Pauphilet (Manag. Sci., 2024)

Robust Combination Testing: Methods and Application to COVID-19 Detection. - Sanjay Jain; Jónas Oddur Jónasson; Jean Pauphilet; Kamalini Ramdas (Manag. Sci., 2024)

Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. - Dimitris Bertsimas; Arthur Delarue; Jean Pauphilet (Trans. Mach. Learn. Res., 2024)

Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items. - Jean Pauphilet (Manuf. Serv. Oper. Manag., 2024)

Optimizing the Path Towards Plastic-Free Oceans. - Dick den Hertog; Jean Pauphilet; Yannick Pham; Bruno Sainte-Rose; Baizhi Song (Oper. Res., 2025)

Adaptive optimization for prediction with missing data. - Dimitris Bertsimas; Arthur Delarue; Jean Pauphilet (Mach. Learn., 2025)

Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization. - Ryan Cory-Wright; Jean Pauphilet (CoRR, 2025)