Jean Pauphilet

According to our database, Jean Pauphilet authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items.

Jean Pauphilet

Manuf. Serv. Oper. Manag., January, 2024

Adaptive Optimization for Prediction with Missing Data.

Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet

CoRR, 2024

2023

Publisher Correction to: A new perspective on low-rank optimization.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

Math. Program., November, 2023

A new perspective on low-rank optimization.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

Math. Program., November, 2023

Robust convex optimization: A new perspective that unifies and extends.

Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen

Math. Program., July, 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

Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions.

Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet

CoRR, 2023

2022

Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

Oper. Res., November, 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

Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

J. Mach. Learn. Res., 2022

Sparse PCA With Multiple Components.

Ryan Cory-Wright, Jean Pauphilet

CoRR, 2022

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations.

Julien Grand-Clément, Jean Pauphilet

CoRR, 2022

2021

Probabilistic Guarantees in Robust Optimization.

Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet

SIAM J. Optim., 2021

A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

SIAM J. Optim., 2021

Sparse classification: a scalable discrete optimization perspective.

Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys

Mach. Learn., 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

Prediction with Missing Data.

Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet

CoRR, 2021

2020

Certifiably optimal sparse inverse covariance estimation.

Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet

Math. Program., 2020

2019

A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms.

Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet

CoRR, 2019

2016

A tractable numerical strategy for robust MILP and application to energy management.

Jean Pauphilet, Diego Kiner, Damien Faille, Laurent El Ghaoui

Proceedings of the 55th IEEE Conference on Decision and Control, 2016