David Bergman

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 47

Top Topics

Decision Diagrams

Transportation Problem

Discrete Optimization

Trained Neural Networks

Top Venues

INFORMS J. Comput.

Constraints An Int. J.

Publications

Mohsen Emadikhiav, Sudip Bhattacharjee, Robert Day, David Bergman
A decision support framework for integrated lane identification and long-term backhaul collaboration using spatial analytics and optimization. Decis. Support Syst. 180 (2024)
Rahul Patel, Elias B. Khalil, David Bergman
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify. CoRR (2024)
Jeff Decary, David Bergman, Carlos Cardonha, Jason Imbrogno, Andrea Lodi
The Madness of Multiple Entries in March Madness. CoRR (2024)
Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. 36 (2) (2024)
Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
Optimizing over an Ensemble of Trained Neural Networks. INFORMS J. Comput. 35 (3) (2023)
David Bergman, Carlos Cardonha, Jason Imbrogno, Leonardo Lozano
Optimizing the Expected Maximum of Two Linear Functions Defined on a Multivariate Gaussian Distribution. INFORMS J. Comput. 35 (2) (2023)
Manish Goyal, David Bergman, Parasara Sridhar Duggirala
BDD for Complete Characterization of a Safety Violation in Linear Systems with Inputs. CoRR (2023)
David Bergman, Merve Bodur, Carlos Cardonha, André A. Ciré
Network Models for Multiobjective Discrete Optimization. INFORMS J. Comput. 34 (2) (2022)
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. 34 (2) (2022)
Saharnaz Mehrani, Carlos Cardonha, David Bergman
Models and Algorithms for the Bin-Packing Problem with Minimum Color Fragmentation. INFORMS J. Comput. 34 (2) (2022)
Carlos Cardonha, David Bergman, Robert Day
Maximizing student opportunities for in-person classes under pandemic capacity reductions. Decis. Support Syst. 154 (2022)
Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra
Recursive McCormick Linearization of Multilinear Programs. CoRR (2022)
Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano, David Bergman
Careful! Training Relevance is Real. CoRR (2022)
Leonardo Lozano, David Bergman, André A. Ciré
Constrained Shortest-Path Reformulations for Discrete Bilevel and Robust Optimization. CoRR (2022)
Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Augustin Parjadis
Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. INFORMS J. Comput. 34 (5) (2022)
Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. 34 (1) (2022)
Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
Acceleration techniques for optimization over trained neural network ensembles. CoRR (2021)
Keliang Wang, Leonardo Lozano, David Bergman, Carlos Cardonha
A Two-Stage Exact Algorithm for Optimization of Neural Network Ensemble. CPAIOR (2021)
David Bergman, Leonardo Lozano
Decision Diagram Decomposition for Quadratically Constrained Binary Optimization. INFORMS J. Comput. 33 (1) (2021)
Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman
Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR (2021)
Leonardo Lozano, David Bergman, J. Cole Smith
On the Consistent Path Problem. Oper. Res. 68 (6) (2020)
Manish Goyal, David Bergman, Parasara Sridhar Duggirala
Generating Longest Counterexample: On the Cross-roads of Mixed Integer Linear Programming and SMT. ACC (2020)
David Bergman
An Exact Algorithm for the Quadratic Multiknapsack Problem with an Application to Event Seating. INFORMS J. Comput. 31 (3) (2019)
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. AAAI (2019)
Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori
Last-Mile Scheduling Under Uncertainty. CPAIOR (2019)
Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR (2019)
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. CPAIOR (2019)
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR (2019)
David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
On the Minimum Chordal Completion Polytope. Oper. Res. 67 (2) (2019)
David Bergman, André A. Ciré
Discrete Nonlinear Optimization by State-Space Decompositions. Manag. Sci. 64 (10) (2018)
Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS (2018)
Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. CoRR (2018)
Teng Huang, David Bergman, Ram D. Gopal
Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products. CoRR (2018)
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. CoRR (2018)
David Bergman, Merve Bodur, Carlos Cardonha, André A. Ciré
Network Models for Multiobjective Discrete Optimization. CoRR (2018)
David Bergman, André Augusto Ciré
On Finding the Optimal BDD Relaxation. CPAIOR (2017)
David Bergman, Jason Imbrogno
Surviving a National Football League Survivor Pool. Oper. Res. 65 (5) (2017)
David Bergman, André Augusto Ciré
Multiobjective Optimization by Decision Diagrams. CP (2016)
David Bergman
Decompositions Based on Decision Diagrams. ISAIM (2016)
David Bergman, André Augusto Ciré, Willem-Jan van Hoeve, John N. Hooker
Discrete Optimization with Decision Diagrams. INFORMS J. Comput. 28 (1) (2016)
David Bergman, André Augusto Ciré
Theoretical insights and algorithmic tools for decision diagram-based optimization. Constraints An Int. J. 21 (4) (2016)
David Bergman, André A. Ciré
Decomposition Based on Decision Diagrams. CPAIOR (2016)
David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
On the Minimum Chordal Completion Polytope. CoRR (2016)
David Bergman, André Augusto Ciré, Willem-Jan van Hoeve
Improved Constraint Propagation via Lagrangian Decomposition. CP (2015)
David Bergman, André Augusto Ciré, Willem-Jan van Hoeve
Lagrangian bounds from decision diagrams. Constraints An Int. J. 20 (3) (2015)
David Bergman
New techniques for discrete optimization. Constraints An Int. J. 20 (4) (2015)
David Bergman, Arvind U. Raghunathan
A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR (2015)
David Bergman, John N. Hooker
Graph coloring inequalities from all-different systems. Constraints An Int. J. 19 (4) (2014)
David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
Optimization Bounds from Binary Decision Diagrams - (Extended Abstract). CP (2014)
David Bergman, André A. Ciré, Willem Jan van Hoeve
MDD Propagation for Sequence Constraints. J. Artif. Intell. Res. 50 (2014)
David Bergman, André A. Ciré, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat, Willem Jan van Hoeve
Parallel Combinatorial Optimization with Decision Diagrams. CPAIOR (2014)
David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
Optimization Bounds from Binary Decision Diagrams. INFORMS J. Comput. 26 (2) (2014)
David Bergman, André A. Ciré, Willem Jan van Hoeve, Tallys H. Yunes
BDD-based heuristics for binary optimization. J. Heuristics 20 (2) (2014)
David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
Variable Ordering for the Application of BDDs to the Maximum Independent Set Problem. CPAIOR (2012)
David Bergman, John N. Hooker
Graph Coloring Facets from All-Different Systems. CPAIOR (2012)
David Bergman, Willem Jan van Hoeve, John N. Hooker
Manipulating MDD Relaxations for Combinatorial Optimization. CPAIOR (2011)