Jean Pauphilet

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Theoretical Guarantees

Scaled Orthographic

Top Venues

Manuf. Serv. Oper. Manag.

Publications

Jean Pauphilet
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items. Manuf. Serv. Oper. Manag. 26 (1) (2024)
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. Trans. Mach. Learn. Res. 2024 (2024)
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
Adaptive Optimization for Prediction with Missing Data. CoRR (2024)
Sanjay Jain, Jónas Oddur Jónasson, Jean Pauphilet, Kamalini Ramdas
Robust Combination Testing: Methods and Application to COVID-19 Detection. Manag. Sci. 70 (4) (2024)
Dimitris Bertsimas, Jean Pauphilet
Hospital-Wide Inpatient Flow Optimization. Manag. Sci. 70 (7) (2024)
Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. CoRR (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A new perspective on low-rank optimization. Math. Program. 202 (1) (2023)
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen
Robust convex optimization: A new perspective that unifies and extends. Math. Program. 200 (2) (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Publisher Correction to: A new perspective on low-rank optimization. Math. Program. 202 (1) (2023)
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
Patient Outcome Predictions Improve Operations at a Large Hospital Network. CoRR (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Oper. Res. 70 (6) (2022)
Ryan Cory-Wright, Jean Pauphilet
Sparse PCA With Multiple Components. CoRR (2022)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. J. Mach. Learn. Res. 23 (2022)
Dimitris Bertsimas, Jean Pauphilet, Jennifer P. Stevens, Manu Tandon
Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics. Manuf. Serv. Oper. Manag. 24 (6) (2022)
Julien Grand-Clément, Jean Pauphilet
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. CoRR (2022)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. SIAM J. Optim. 31 (3) (2021)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A new perspective on low-rank optimization. CoRR (2021)
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet
Probabilistic Guarantees in Robust Optimization. SIAM J. Optim. 31 (4) (2021)
Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110 (11) (2021)
Hanyu Gao, Jean Pauphilet, Thomas J. Struble, Connor W. Coley, Klavs F. Jensen
Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries. J. Chem. Inf. Model. 61 (1) (2021)
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
Prediction with Missing Data. CoRR (2021)
Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
Certifiably optimal sparse inverse covariance estimation. Math. Program. 184 (1) (2020)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. CoRR (2020)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. CoRR (2020)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. CoRR (2019)
Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
Certifiably Optimal Sparse Inverse Covariance Estimation. CoRR (2019)
Jean Pauphilet, Diego Kiner, Damien Faille, Laurent El Ghaoui
A tractable numerical strategy for robust MILP and application to energy management. CDC (2016)