Joseph Paat

dblp:173/4642 · DBLP profile ↗
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12ranked-venue papers
3as first author
4since 2021 · last 2024
0000-0003-2930-3155ORCID · corroborated

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Theory of computation · 12 · 3 first-author · 4 since 2021Artificial intelligence and machine learning · 1
YearPublicationVenuePosition
2024 On the Column Number and Forbidden Submatrices for \(\Delta\)-Modular Matrices
abstract
Abstract. An integer matrix [Formula: see text] is [Formula: see text]-modular if the determinant of each [Formula: see text] submatrix of [Formula: see text] has absolute value at most [Formula: see text]. The study of [Formula: see text]-modular matrices appears in the theory of integer programming, where an open conjecture is whether integer programs defined by [Formula: see text]-modular constraint matrices can be solved in polynomial time if [Formula: see text] is considered constant. The conjecture is known to hold true only when [Formula: see text]. In light of this conjecture, a natural question is to understand structural properties of [Formula: see text]-modular matrices. We consider the column number question, how many nonzero, pairwise nonparallel columns can a rank-[Formula: see text] [Formula: see text]-modular matrix have? We prove that for each positive integer [Formula: see text] and sufficiently large integer [Formula: see text], every rank-[Formula: see text] [Formula: see text]-modular matrix has at most [Formula: see text] nonzero, pairwise nonparallel columns, which is tight up to the term [Formula: see text]. This is the first upper bound of the form [Formula: see text] with [Formula: see text] a polynomial function. Underlying our results is a partial list of matrices that cannot exist in a [Formula: see text]-modular matrix. We believe this partial list may be of independent interest in future studies of [Formula: see text]-modular matrices.
Joseph Paat, Ingo Stallknecht, Zach Walsh, Luze Xu
SIAM J. Discret. Math.1
2023 Towards a Characterization of Maximal Quadratic-Free Sets
Gonzalo Muñoz 0001, Joseph Paat, Felipe Serrano 0001
IPCO2
2023 Compressing Branch-and-Bound Trees
Gonzalo Muñoz 0001, Joseph Paat, Álinson S. Xavier
IPCO2
2022 Improving the Cook et al. Proximity Bound Given Integral Valued Constraints
Marcel Celaya, Stefan Kuhlmann, Joseph Paat, Robert Weismantel
IPCO3
2020 Constructing Lattice-Free Gradient Polyhedra in Dimension Two
Joseph Paat, Miriam Schlöter, Emily Speakman
IPCO1
2020 The Integrality Number of an Integer Program
Joseph Paat, Miriam Schlöter, Robert Weismantel
IPCO1
2020 Improving Proximity Bounds Using Sparsity
Jon Lee 0001, Joseph Paat, Ingo Stallknecht, Luze Xu
ISCO2
2019 Sparsity of Integer Solutions in the Average Case
Timm Oertel, Joseph Paat, Robert Weismantel
IPCO2
2019 Nonunique Lifting of Integer Variables in Minimal Inequalities
abstract
We explore the lifting question in the context of cut-generating functions. Most of the prior literature on this question focuses on cut-generating functions that have the unique lifting property. We develop a general theory for understanding the lifting question for cut-generating functions that do not necessarily have the unique lifting property.
Amitabh Basu, Santanu Subhas Dey, Joseph Paat
SIAM J. Discret. Math.3
2017 Approximation of Corner Polyhedra with Families of Intersection Cuts
Gennadiy Averkov, Amitabh Basu, Joseph Paat
IPCO3
2017 The Structure of the Infinite Models in Integer Programming
Amitabh Basu, Michele Conforti, Marco Di Summa, Joseph Paat
IPCO4
2016 Extreme Functions with an Arbitrary Number of Slopes
Amitabh Basu, Michele Conforti, Marco Di Summa, Joseph Paat
IPCO4