David Bergman
Associate Professor/Operations and Info Management
Scholarly Contributions

55 Scholarly Contributions

29
Journal Articles
15
Conference Proceedings
10
Poster/Presentations
1
Other Scholarly Work
Optimization using Decision Diagrams
2016
David Bergman
Research Type: Poster/Presentation

Optimizing over an ensemble of trained neural networks
2023
Carlos Cardonha, Leonardo Lozano, Keliang Wang, David Bergman
Research Type: Journal Article

Optimizing the expected maximum of two linear functions defined on a multivariate Gaussian distribution
2022
David Bergman, Carlos Cardonha, Leonardo Lozano, Jason Imbrogno
Research Type: Journal Article

Parallel Combinatorial Optimization with Decision Diagrams
2024
David Bergman, Horst Samulowitz, Willem-Jan van Hoeve, Andre A Cire, Vijay Saraswat, Ashish Sabharwal
Research Type: Conference Proceedings

Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products
David Bergman, Teng Huang, Ram D. Gopal
Research Type: Journal Article

Prioritizing People - Mixed Equilibrium Assignment for AV Based on Occupancy
David Bergman, Sruthi Mantri, Nicholas Lownes
Research Type: Conference Proceedings

Proceedings of the International Conference on Automated Planning and Scheduling
Arvind Raghunathan, Shingo Kobori, John Hooker, Thiago Serra, David Bergman
Research Type: Conference Proceedings

Recursive McCormick Linearization of Multilinear Programs
Carlos Cardonha, David Bergman, Arvind Raghunathan, Carlos Nohra
Research Type: Journal Article

Running (on) Empty: Designing a Sustainable Backhaul Framework using Telematics Sensor Data and Analytics
Mohsen Emadikhiav, Sudip Bhattacharjee, Robert Day, David Bergman
Research Type: Journal Article

Seamless Multimodal Transportation Scheduling. INFORMS Journal on Computing
John Hooker, Shingo Korobi, Arvind Raghunathan, David Bergman, Thiago Serra
Research Type: Journal Article

Solving Binary Quadratic Programming Problems with Binary Decision Diagrams
2014
David Bergman
Research Type: Poster/Presentation

Template-based Minor Embedding for Adiabatic Quantum Optimization. INFORMS Journal on Computing
Arvind Raghunathan, David Bergman, Thiago Serra, Teng Huang
Research Type: Journal Article

The Madness of Multiple Entries in March Madness
Carlos Cardonha, Jeff Sylvestre-Decary, Andrea Lodi, David Bergman, Jason Imbrogno
Research Type: Journal Article

Theoretical Insights and Algorithmic Tools for Decision Diagram-Based Optimization
David Bergman, Andre Cire
Research Type: Journal Article

Variable Ordering for the Application of BDDs to the Maximum Independent Set Problem
2024
John N Hooker, David Bergman, Andre A Cire, Willem-Jan van Hoeve
Research Type: Conference Proceedings