David Bergman - RankMe

60 papers A* 2A 3B 11C 1Misc 1Journal 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards better recommendations: Integrating counterfactual learning and trust regions in digital platforms. Decis. Support Syst. David Bergman, Sule Nur Kutlu, Raymond A. Patterson, Keliang Wang
2025	J	`jnl`	Recursive McCormick Linearization of Multilinear Programs. INFORMS J. Comput. Carlos Cardonha, Arvind U. Raghunathan, David Bergman, Carlos J. Nohra
2024	J	`jnl`	A decision support framework for integrated lane identification and long-term backhaul collaboration using spatial analytics and optimization. Decis. Support Syst. Mohsen Emadikhiav, Sudip Bhattacharjee, Robert Day, David Bergman
2024	J	`jnl`	Constraint Learning to Define Trust Regions in Optimization over Pre-Trained Predictive Models. INFORMS J. Comput. Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano, David Bergman
2024	J	`jnl`	MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify. CoRR Rahul Patel, Elias B. Khalil, David Bergman
2024	J	`jnl`	Seamless Multimodal Transportation Scheduling. INFORMS J. Comput. Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2024	J	`jnl`	The Madness of Multiple Entries in March Madness. CoRR Jeff Decary, David Bergman, Carlos Cardonha, Jason Imbrogno, Andrea Lodi
2023	J	`jnl`	BDD for Complete Characterization of a Safety Violation in Linear Systems with Inputs. CoRR Manish Goyal, David Bergman, Parasara Sridhar Duggirala
2023	J	`jnl`	Optimizing over an Ensemble of Trained Neural Networks. INFORMS J. Comput. Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
2023	J	`jnl`	Optimizing the Expected Maximum of Two Linear Functions Defined on a Multivariate Gaussian Distribution. INFORMS J. Comput. David Bergman, Carlos Cardonha, Jason Imbrogno, Leonardo Lozano
2022	J	`jnl`	Careful! Training Relevance is Real. CoRR Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano, David Bergman
2022	J	`jnl`	Constrained Shortest-Path Reformulations for Discrete Bilevel and Robust Optimization. CoRR Leonardo Lozano, David Bergman, André A. Ciré
2022	J	`jnl`	Improving Variable Orderings of Approximate Decision Diagrams Using Reinforcement Learning. INFORMS J. Comput. Quentin Cappart, David Bergman, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Augustin Parjadis
2022	J	`jnl`	JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
2022	J	`jnl`	Maximizing student opportunities for in-person classes under pandemic capacity reductions. Decis. Support Syst. Carlos Cardonha, David Bergman, Robert Day
2022	J	`jnl`	Models and Algorithms for the Bin-Packing Problem with Minimum Color Fragmentation. INFORMS J. Comput. Saharnaz Mehrani, Carlos Cardonha, David Bergman
2022	J	`jnl`	Network Models for Multiobjective Discrete Optimization. INFORMS J. Comput. David Bergman, Merve Bodur, Carlos Cardonha, André A. Ciré
2022	J	`jnl`	Recursive McCormick Linearization of Multilinear Programs. CoRR Arvind U. Raghunathan, Carlos Cardonha, David Bergman, Carlos J. Nohra
2022	J	`jnl`	Template-Based Minor Embedding for Adiabatic Quantum Optimization. INFORMS J. Comput. Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2021	B	`conf`	A Two-Stage Exact Algorithm for Optimization of Neural Network Ensemble. CPAIOR Keliang Wang, Leonardo Lozano, David Bergman, Carlos Cardonha
2021	J	`jnl`	Acceleration techniques for optimization over trained neural network ensembles. CoRR Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
2021	J	`jnl`	Decision Diagram Decomposition for Quadratically Constrained Binary Optimization. INFORMS J. Comput. David Bergman, Leonardo Lozano
2021	B	`conf`	Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning. CPAIOR Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau, David Bergman
2020	C	`conf`	Generating Longest Counterexample: On the Cross-roads of Mixed Integer Linear Programming and SMT. ACC Manish Goyal, David Bergman, Parasara Sridhar Duggirala
2020	J	`jnl`	On the Consistent Path Problem. Oper. Res. Leonardo Lozano, David Bergman, J. Cole Smith
2019	J	`jnl`	An Exact Algorithm for the Quadratic Multiknapsack Problem with an Application to Event Seating. INFORMS J. Comput. David Bergman
2019	B	`conf`	Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. CPAIOR David Bergman, Carlos Cardonha, Saharnaz Mehrani
2019	A*	`conf`	Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning. AAAI Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
2019	J	`jnl`	JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
2019	B	`conf`	Last-Mile Scheduling Under Uncertainty. CPAIOR Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori
2019	J	`jnl`	On the Minimum Chordal Completion Polytope. Oper. Res. David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
2019	J	`jnl`	Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman
2018	J	`jnl`	Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. CoRR David Bergman, Carlos Cardonha, Saharnaz Mehrani
2018	J	`jnl`	Discrete Nonlinear Optimization by State-Space Decompositions. Manag. Sci. David Bergman, André A. Ciré
2018	J	`jnl`	Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. CoRR Quentin Cappart, Emmanuel Goutierre, David Bergman, Louis-Martin Rousseau
2018	J	`jnl`	Network Models for Multiobjective Discrete Optimization. CoRR David Bergman, Merve Bodur, Carlos Cardonha, André A. Ciré
2018	J	`jnl`	Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products. CoRR Teng Huang, David Bergman, Ram D. Gopal
2018	A*	`conf`	The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori
2017	B	`conf`	On Finding the Optimal BDD Relaxation. CPAIOR David Bergman, André Augusto Ciré
2017	J	`jnl`	Surviving a National Football League Survivor Pool. Oper. Res. David Bergman, Jason Imbrogno
2016	—	`book`	Decision Diagrams for Optimization David Bergman, André A. Ciré, Willem-Jan van Hoeve, John N. Hooker
2016	B	`conf`	Decomposition Based on Decision Diagrams. CPAIOR David Bergman, André A. Ciré
2016	Misc	`conf`	Decompositions Based on Decision Diagrams. ISAIM David Bergman
2016	J	`jnl`	Discrete Optimization with Decision Diagrams. INFORMS J. Comput. David Bergman, André Augusto Ciré, Willem-Jan van Hoeve, John N. Hooker
2016	A	`conf`	Multiobjective Optimization by Decision Diagrams. CP David Bergman, André Augusto Ciré
2016	J	`jnl`	On the Minimum Chordal Completion Polytope. CoRR David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan
2016	J	`jnl`	Theoretical insights and algorithmic tools for decision diagram-based optimization. Constraints An Int. J. David Bergman, André Augusto Ciré
2015	B	`conf`	A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR David Bergman, Arvind U. Raghunathan
2015	A	`conf`	Improved Constraint Propagation via Lagrangian Decomposition. CP David Bergman, André Augusto Ciré, Willem-Jan van Hoeve
2015	J	`jnl`	Lagrangian bounds from decision diagrams. Constraints An Int. J. David Bergman, André Augusto Ciré, Willem-Jan van Hoeve
2015	J	`jnl`	New techniques for discrete optimization. Constraints An Int. J. David Bergman
2014	J	`jnl`	BDD-based heuristics for binary optimization. J. Heuristics David Bergman, André A. Ciré, Willem Jan van Hoeve, Tallys H. Yunes
2014	J	`jnl`	Graph coloring inequalities from all-different systems. Constraints An Int. J. David Bergman, John N. Hooker
2014	J	`jnl`	MDD Propagation for Sequence Constraints. J. Artif. Intell. Res. David Bergman, André A. Ciré, Willem Jan van Hoeve
2014	A	`conf`	Optimization Bounds from Binary Decision Diagrams - (Extended Abstract). CP David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
2014	J	`jnl`	Optimization Bounds from Binary Decision Diagrams. INFORMS J. Comput. David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
2014	B	`conf`	Parallel Combinatorial Optimization with Decision Diagrams. CPAIOR David Bergman, André A. Ciré, Ashish Sabharwal, Horst Samulowitz, Vijay A. Saraswat, Willem Jan van Hoeve
2012	B	`conf`	Graph Coloring Facets from All-Different Systems. CPAIOR David Bergman, John N. Hooker
2012	B	`conf`	Variable Ordering for the Application of BDDs to the Maximum Independent Set Problem. CPAIOR David Bergman, André A. Ciré, Willem Jan van Hoeve, John N. Hooker
2011	B	`conf`	Manipulating MDD Relaxations for Combinatorial Optimization. CPAIOR David Bergman, Willem Jan van Hoeve, John N. Hooker