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07/18/2022
Recursive McCormick Linearization of Multilinear Programs
Linear programming (LP) relaxations are widely employed in exact solutio...
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06/26/2022
Constrained Shortest-Path Reformulations for Discrete Bilevel and Robust Optimization
Many discrete optimization problems are amenable to constrained shortest...
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01/12/2022
Careful! Training Relevance is Real
There is a recent proliferation of research on the integration of machin...
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12/13/2021
Acceleration techniques for optimization over trained neural network ensembles
We study optimization problems where the objective function is modeled t...
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11/21/2019
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
Business research practice is witnessing a surge in the integration of p...
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10/05/2019
Template-based Minor Embedding for Adiabatic Quantum Optimization
Quantum Annealing (QA) can be used to quickly obtain near-optimal soluti...
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11/30/2018
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation
Bin Packing with Minimum Color Fragmentation (BPMCF) is an extension of ...
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09/10/2018
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Finding tight bounds on the optimal solution is a critical element of pr...
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04/03/2018
Predictive and Prescriptive Analytics for Location Selection of Add-on Retail Products
In this paper, we study an analytical approach to selecting expansion lo...
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02/23/2018