16 citations · 17 across the 7 of their papers we have counts for
7 papers
Distributed Linear Programming on GPU Clusters at Extreme Scale
Arnaud Deza, Santanu Dey, Pascal Van Hentenryck
Large linear programs can exceed the memory of a single compute node. Although first-order methods replace sparse factorizations with GPU-suited matrix-vector products, other solve…
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
Tinghan Ye, Arnaud Deza, Ved Mohan +2
Optimization models developed by operations research (OR) experts are often deployed as decision-support systems in industrial settings. However, real-world environments are dynami…
DualSchool: How Reliable are LLMs for Optimization Education?
Michael Klamkin, Arnaud Deza, Sikai Cheng +2
Consider the following task taught in introductory optimization courses which addresses challenges articulated by the community at the intersection of (generative) AI and OR: gener…
Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks
Arnaud Deza, Elias B. Khalil, Zhenan Fan +2
We present , a machine learning (ML) framework for optimizing the generation of Chvátal-Gomory (CG) cuts in mixed integer linear programming (MILP). The f…
Machine Learning for Optimization-Based Separation of Mixed-Integer Rounding Cuts
Oscar Guaje, Arnaud Deza, Aleksandr M. Kazachkov +1
Mixed-integer rounding (MIR) cutting planes (cuts) are effective at improving the strength of a linear relaxation for mixed-integer linear programming (MIP) problems. The cuts in t…
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach
Arnaud Deza, Chang Liu, Pashootan Vaezipoor +1
It is known that the multiplication of an matrix with an matrix can be performed using fewer multiplications than what the naive approach suggests.…
Machine Learning for Cutting Planes in Integer Programming: A Survey
Arnaud Deza, Elias B. Khalil
We survey recent work on machine learning (ML) techniques for selecting cutting planes (or cuts) in mixed-integer linear programming (MILP). Despite the availability of various cla…