David Bergman
Associate Professor/Operations and Info Management
Decision Diagram for Discrete Optimization
2013
Research Type: Poster/Presentation

BDD-based heuristics for binary optimization
2014
Willem-Jan van Hoeve, Andre A Cire, Tallys Yunes, David Bergman
Research Type: Journal Article

Graph Coloring Inequalities from All-different Systems
2014
J N Hooker, David Bergman
Research Type: Journal Article

Optimization Bounds from Binary Decision Diagrams
2014
J N Hooker, Andre A. Cire, Willem-Jan van Hoeve, David Bergman
Research Type: Journal Article

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

Computational Techniques for Incentive Auctions and Solving Binary Quadratic Programming Problems with Binary Decision Diagrams
2014
Research Type: Poster/Presentation

Lagrangian Bounds from Decision Diagrams
2015
Andre A Cire, Willem-Jan van Hoeve, David Bergman
Research Type: Journal Article

New Techniques for Discrete Optimization
2015
Research Type: Journal Article

Decision Diagrams for Combinatorial Optimization
2015
Research Type: Poster/Presentation

Discrete Optimization with Decision Diagrams
2016
David Bergman, Willem-Jan van Hoeve, J N Hooker, Andre A Cire
Research Type: Other Scholarly Work

Optimization using Decision Diagrams
2016
Research Type: Poster/Presentation

MDD-Based Propagation for Sequence Constraints
2016
Research Type: Poster/Presentation

Decision Diagram Decompositions
2016
Research Type: Poster/Presentation

Computational optimization: concepts, trends, and modern applications.
2018
Research Type: Poster/Presentation

On the minimum chordal completion polytope
2019
Carlos Cardonha, Arvind U. Raghunathan, Andre A. Cire, David Bergman
Research Type: Journal Article

Designing a Sustainable Backhaul Framework using Telematics Sensor Data and Analytics
2019
David Bergman, Robert Day, Sudip Bhattacharjee, Mohsen Emadikhiav
Research Type: Poster/Presentation

Exploit or Explore? How Users React to Different Types of Recommendations
2021
Sule Nur Kutlu, Raymond A Patterson, Jing Peng
Research Type: Poster/Presentation

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

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

MDD Propagation for Sequence Constraints
2024
David Bergman, Willem-Jan van Hoeve, Andre A Cire
Research Type: Conference Proceedings