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20162026
most citedThe Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

7 citations · 16 across the 10 of their papers we have counts for

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8 papers · 1 filter

math.OC2026

Chvátal-Gomory Rounding of Eigenvector Inequalities for QCQPs

Santanu S. Dey, Nan Jiang, Aleksandr Kazachkov +2

We introduce and analyze a class of valid inequalities for nonconvex quadratically constrained optimization problems (QCQPs) which we call Eigen-CG inequalities. These inequalities…

math.OC2025

Parametric Disjunctive Cuts for Sequences of Mixed Integer Linear Optimization Problems

Shannon Kelley, Aleksandr M. Kazachkov, Ted Ralphs

Many applications require solving sequences of related mixed-integer linear programs. We introduce a class of parametric disjunctive inequalities (PDIs), obtained by reusing the di…

math.OC2025

Approximating value functions via corner Benders' cuts

Matheus J. Ota, Ricardo Fukasawa, Aleksandr M. Kazachkov

We introduce a novel technique to generate Benders' cuts from a conic relaxation ("corner") derived from a basis of a higher-dimensional polyhedron that we aim to outer approximate…

math.OC2024★ 1 cited

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…

math.OC2023

Monoidal strengthening of simple -polyhedral disjunctive cuts

Aleksandr M. Kazachkov, Egon Balas

Disjunctive cutting planes can tighten a relaxation of a mixed-integer linear program. Traditionally, such cuts are obtained by solving a higher-dimensional linear program, whose a…

math.OC2022★ 2 cited

-Polyhedral Disjunctive Cuts

Egon Balas, Aleksandr M. Kazachkov

We introduce -polyhedral disjunctive cuts (VPCs) for generating valid inequalities from general disjunctions. Cuts are critical to integer programming solvers, but the…

math.OC2021★ 4 cited

An Abstract Model for Branch and Cut

Aleksandr M. Kazachkov, Pierre Le Bodic, Sriram Sankaranarayanan

Branch and cut is the dominant paradigm for solving a wide range of mathematical programming problems -- linear or nonlinear -- combining efficient search (via branch and bound) an…

math.OC2017

Partial hyperplane activation for generalized intersection cuts

Aleksandr M. Kazachkov, Selvaprabu Nadarajah, Egon Balas +1

The generalized intersection cut (GIC) paradigm is a recent framework for generating cutting planes in mixed integer programming with attractive theoretical properties. We investig…