Jean Pauphilet

35 papers Journal 34Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compact Lifted Relaxations for Low-Rank Optimization. CoRR Ryan Cory-Wright, Jean Pauphilet
2026	J	`jnl`	The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. Manag. Sci. Julien Grand-Clément, Jean Pauphilet
2025	J	`jnl`	A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design. INFORMS J. Comput. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet, Periklis Petridis
2025	J	`jnl`	Adaptive optimization for prediction with missing data. Mach. Learn. Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2025	J	`jnl`	Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization. CoRR Ryan Cory-Wright, Jean Pauphilet
2025	J	`jnl`	Optimizing the Path Towards Plastic-Free Oceans. Oper. Res. Dick den Hertog, Jean Pauphilet, Yannick Pham, Bruno Sainte-Rose, Baizhi Song
2024	J	`jnl`	Adaptive Optimization for Prediction with Missing Data. CoRR Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2024	J	`jnl`	Hospital-Wide Inpatient Flow Optimization. Manag. Sci. Dimitris Bertsimas, Jean Pauphilet
2024	J	`jnl`	Minkowski Centers via Robust Optimization: Computation and Applications. Oper. Res. Dick den Hertog, Jean Pauphilet, Mohamed Yahya Soali
2024	J	`jnl`	Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital. INFORMS J. Appl. Anal. Liangyuan Na, Jean Pauphilet, Ali Haddad-Sisakht, Louis Raison, Audrey Silver, Patricia Veronneau, Nicole Vogt, Dimitris Bertsimas
2024	J	`jnl`	Robust Combination Testing: Methods and Application to COVID-19 Detection. Manag. Sci. Sanjay Jain, Jónas Oddur Jónasson, Jean Pauphilet, Kamalini Ramdas
2024	J	`jnl`	Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items. Manuf. Serv. Oper. Manag. Jean Pauphilet
2024	J	`jnl`	Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. Trans. Mach. Learn. Res. Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2023	J	`jnl`	A new perspective on low-rank optimization. Math. Program. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2023	J	`jnl`	Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet
2023	J	`jnl`	Patient Outcome Predictions Improve Operations at a Large Hospital Network. CoRR 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
2023	J	`jnl`	Publisher Correction to: A new perspective on low-rank optimization. Math. Program. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2023	J	`jnl`	Robust convex optimization: A new perspective that unifies and extends. Math. Program. Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen
2022	J	`jnl`	Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Oper. Res. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2022	J	`jnl`	Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics. Manuf. Serv. Oper. Manag. Dimitris Bertsimas, Jean Pauphilet, Jennifer P. Stevens, Manu Tandon
2022	J	`jnl`	Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. J. Mach. Learn. Res. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2022	J	`jnl`	Sparse PCA With Multiple Components. CoRR Ryan Cory-Wright, Jean Pauphilet
2022	J	`jnl`	The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. CoRR Julien Grand-Clément, Jean Pauphilet
2021	J	`jnl`	A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. SIAM J. Optim. Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2021	J	`jnl`	A new perspective on low-rank optimization. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2021	J	`jnl`	Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries. J. Chem. Inf. Model. Hanyu Gao, Jean Pauphilet, Thomas J. Struble, Connor W. Coley, Klavs F. Jensen
2021	J	`jnl`	Prediction with Missing Data. CoRR Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2021	J	`jnl`	Probabilistic Guarantees in Robust Optimization. SIAM J. Optim. Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet
2021	J	`jnl`	Sparse classification: a scalable discrete optimization perspective. Mach. Learn. Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
2020	J	`jnl`	Certifiably optimal sparse inverse covariance estimation. Math. Program. Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
2020	J	`jnl`	Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2020	J	`jnl`	Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2019	J	`jnl`	A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. CoRR Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2019	J	`jnl`	Certifiably Optimal Sparse Inverse Covariance Estimation. CoRR Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
2016	—	`conf`	A tractable numerical strategy for robust MILP and application to energy management. CDC Jean Pauphilet, Diego Kiner, Damien Faille, Laurent El Ghaoui