714 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS7 papers
- Imperial College LondonGB3 papers
- Centre for Economic Policy ResearchGB2 papers
- Georgia Institute of TechnologyUS2 papers
- University of ExeterGB2 papers
- University of WarwickGB2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Agriculture and FoodAU1 paper
- Atilim UniversityTR1 paper
- Bilkent UniversityTR1 paper
- Cardiff UniversityGB1 paper
17 papers
Adaptive Optimization for Prediction with Missing Data
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
When training predictive models on data with missing entries, the most widely used and versatile approach is a pipeline technique where we first impute missing entries and then com…
Generative artificial intelligence enhances creativity but reduces the diversity of novel content
Anil R. Doshi, Oliver P. Hauser
Creativity is core to being human. Generative artificial intelligence (GenAI) holds promise for humans to be more creative by offering new ideas, or less creative by anchoring on G…
Patient Outcome Predictions Improve Operations at a Large Hospital Network
Liangyuan Na, Kimberly Villalobos Carballo, Jean Pauphilet +8
Problem definition: Access to accurate predictions of patients' outcomes can enhance medical staff's decision-making, which ultimately benefits all stakeholders in the hospitals. A…
Operational Research: Methods and Applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktas +79
Throughout its history, Operational Research has evolved to include a variety of methods, models and algorithms that have been applied to a diverse and wide range of contexts. This…
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet +1
Network design problems involve constructing edges in a transportation or supply chain network to minimize construction and daily operational costs. We study a stochastic version w…
The Rise of Age-Friendly Jobs
Daron Acemoglu, Nicolaj Søndergaard Mühlbach, Andrew J. Scott
In 1990, one in five U.S. workers were aged over 50 years whereas today it is one in three. One possible explanation for this is that occupations have become more accommodating to…
Sparse PCA With Multiple Components
Ryan Cory-Wright, Jean Pauphilet
Sparse Principal Component Analysis (sPCA) is a cardinal technique for obtaining combinations of features, or principal components (PCs), that explain the variance of high-dimensio…
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations
Julien Grand-Clément, Jean Pauphilet
Many high-stake decisions follow an expert-in-loop structure in that a human operator receives recommendations from an algorithm but is the ultimate decision maker. Hence, the algo…
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items
Jean Pauphilet
Problem definition: Mining for heterogeneous responses to an intervention is a crucial step for data-driven operations, for instance to personalize treatment or pricing. We investi…
A new perspective on low-rank optimization
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A key question in many low-rank problems throughout optimization, machine learning, and statistics is to characterize the convex hulls of simple low-rank sets and judiciously apply…
A Pricing Mechanism to Jointly Mitigate Market Power and Environmental Externalities in Electricity Markets
Lamia Varawala, Mohammad Reza Hesamzadeh, György Dán +2
The electricity industry has been one of the first to face technological changes motivated by sustainability concerns. Whilst efficiency aspects of market design have tended to foc…
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
We propose a framework for modeling and solving low-rank optimization problems to certifiable optimality. We introduce symmetric projection matrices that satisfy , the matri…
A Model of the Fed's View on Inflation
Thomas Hasenzagl, Filippo Pellegrino, Lucrezia Reichlin +1
We develop a medium-size semi-structural time series model of inflation dynamics that is consistent with the view - often expressed by central banks - that three components are imp…
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Sparse principal component analysis (PCA) is a popular dimensionality reduction technique for obtaining principal components which are linear combinations of a small subset of the…
Forecasting the Intra-Day Spread Densities of Electricity Prices
Ekaterina Abramova, Derek Bunn
Intra-day price spreads are of interest to electricity traders, storage and electric vehicle operators. This paper formulates dynamic density functions, based upon skewed-t and sim…
Sparse Classification: a scalable discrete optimization perspective
Dimitris Bertsimas, Jean Pauphilet, Bart Van Parys
We formulate the sparse classification problem of samples with features as a binary convex optimization problem and propose a cutting-plane algorithm to solve it exactly. F…
Standardization versus Coverage in Wireless Telephone Networks
Neil Gandal, David Salant, Leonard Waverman
The issue of market-based versus mandated standards has been addressed in many settings. In most settings in which network effects are present, compatibility across platforms has b…