activity
20182021
most citedConsequences of the packing problem

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

math.AC2021

Computing real powers of monomial ideals

Pratik Dongre, Benjamin Drabkin, Josiah Lim +5

This paper concerns the exponentiation of monomial ideals. While it is customary for the exponentiation operation on ideals to consider natural powers, we extend this notion to pow…

math.AC2021★ 7 cited

Consequences of the packing problem

Hrishikesh Bodas, Benjamin Drabkin, Caleb Fong +6

We study several consequences of the packing problem, a conjecture from combinatorial optimization, using algebraic invariants of square-free monomial ideals. While the packing pro…

math.AC2021★ 1 cited

Convex bodies and asymptotic invariants for powers of monomial ideals

João Camarneiro, Benjamin Drabkin, Duarte Fragoso +5

Continuing a well established tradition of associating convex bodies to monomial ideals, we initiate a program to construct asymptotic Newton polyhedra from decompositions of monom…

stat.ML2020★ 2 cited

Machine learning the real discriminant locus

Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta +2

Parameterized systems of polynomial equations arise in many applications in science and engineering with the real solutions describing, for example, equilibria of a dynamical syste…

math.OC2019

On computing the nonlinearity interval in parametric semidefinite optimization

Jonathan D. Hauenstein, Ali Mohammad-Nezhad, Tingting Tang +1

This paper revisits the parametric analysis of semidefinite optimization problems with respect to the perturbation of the objective function along a fixed direction. We review the…

stat.ML2018★ 2 cited

The loss surface of deep linear networks viewed through the algebraic geometry lens

Dhagash Mehta, Tianran Chen, Tingting Tang +1

By using the viewpoint of modern computational algebraic geometry, we explore properties of the optimization landscapes of the deep linear neural network models. After clarifying o…