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David Bergman
Associate Professor/Operations and Info Management

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Scholarly Contributions

24 Scholarly Contributions

24
Journal Articles
7
Conference Proceedingss
1
Other Scholarly Work
Optimizing over an ensemble of trained neural networks
Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
2023
Research Type: Journal Article
Optimizing the expected maximum of two linear functions defined on a multivariate Gaussian distribution
Jason Imbrogno, Leonardo Lozano, Carlos Cardonha, David Bergman
2022
Research Type: Journal Article
New Techniques for Discrete Optimization
David Bergman
2015
Research Type: Journal Article
Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products
David Bergman, Ram D. Gopal, Teng Huang
Research Type: Journal Article
Recursive McCormick Linearization of Multilinear Programs
Carlos Cardonha, Carlos Nohra, Arvind Raghunathan, David Bergman
Research Type: Journal Article
Network Models for Multiobjective Discrete Optimization
Merve Bodur, Andre Cire, David Bergman, Carlos Cardonha
Research Type: Journal Article
Optimization for Maximizing the Expected Value of Order Statistics
Carlos Cardonha, Leonardo Lozano, Jason Imbrogno, David Bergman
Research Type: Journal Article
An Exact Algorithm for the Quadratic Multiknapsack Problem with an Application to Event Seating
David Bergman
Research Type: Journal Article
Balancing stability and efficiency in team formation as a generalized roommate problem
David Bergman, Hoda Atef Yekta, Robert Day
Research Type: Journal Article
On the Minimum Chordal Completion Polytope
Andre A Cire, Arvind U Raghunathan, David Bergman, Carlos H Cardonha
Research Type: Journal Article
Maximizing student opportunities for in-person classes under pandemic capacity reductions
Carlos Cardonha, David Bergman, Carlos Cardonha
Research Type: Journal Article
Consistent Routing with Simultaneous Pickups and Deliveries
Robert Day, David Bergman, Mohsen Emadihiav
Research Type: Journal Article
Theoretical Insights and Algorithmic Tools for Decision Diagram-Based Optimization
David Bergman, Andre Cire
Research Type: Journal Article
Running (on) Empty: Designing a Sustainable Backhaul Framework using Telematics Sensor Data and Analytics
Sudip Bhattacharjee, Mohsen Emadikhiav, David Bergman, Robert Day
Research Type: Journal Article
On the Consistent Path Problem.
Leonardo Lozano, J Cole Smith, David Bergman
Research Type: Journal Article
JANOS: An Integrated Predictive and PrescriptiveModeling Framework
Teng Huang, Phil Brooks, Andrea Lodi, Arvind Raghunathan, David Bergman
Research Type: Journal Article
Algorithms for the Bin Packing Problem with Minimum Color Fragmentation
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Research Type: Journal Article
A Decision Support Framework for Integrated Lane Identification and Long-Term Backhaul Collaboration using Spatial Analytics and Optimization
Robert Day, Sudip Bhattacharjee, Mohsen Emadikhiav, David Bergman
Research Type: Journal Article
Template-based Minor Embedding for Adiabatic Quantum Optimization. INFORMS Journal on Computing
Teng Huang, Thiago Serra, David Bergman, Arvind Raghunathan
Research Type: Journal Article
Decision Diagram Decomposition for Quadratically Constrained Binary Optimization
David Bergman, Leonardo Lozano
Research Type: Journal Article
Improving Variable Orderings of Approximate Decision Diagrams using Reinforcement Learning
David Bergman, Isabeau Pr´emont-Schwarz, Louis-Martin Rousseau, Quentin Cappart
Research Type: Journal Article
Discrete Nonlinear Optimization by State-Space Decompositions
David Bergman, Andre Cire
Research Type: Journal Article
The Madness of Multiple Entries in March Madness
Andrea Lodi, Carlos Cardonha, David Bergman, Jeff Sylvestre-Decary, Jason Imbrogno
Research Type: Journal Article
Seamless Multimodal Transportation Scheduling. INFORMS Journal on Computing
Thiago Serra, Arvind Raghunathan, John Hooker, David Bergman, Shingo Korobi
Research Type: Journal Article