activity
20182021
most citedNon-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DS2021

Adaptive Sampling for Fast Constrained Maximization of Submodular Function

Francesco Quinzan, Vanja Doskoč, Andreas Göbel +1

Several large-scale machine learning tasks, such as data summarization, can be approached by maximizing functions that satisfy submodularity. These optimization problems often invo…

cs.LG20191 cited

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings

Vanja Doskoč, Tobias Friedrich, Andreas Göbel +3

We study the problem of maximizing a non-monotone submodular function under multiple knapsack constraints. We propose a simple discrete greedy algorithm to approach this problem, a…

cs.DM2018

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints

Tobias Friedrich, Andreas Göbel, Frank Neumann +2

We investigate the performance of a deterministic GREEDY algorithm for the problem of maximizing functions under a partition matroid constraint. We consider non-monotone submodular…

cs.DS2018

Evolutionary Algorithms and Submodular Functions: Benefits of Heavy-Tailed Mutations

Tobias Friedrich, Andreas Göbel, Francesco Quinzan +1

A core feature of evolutionary algorithms is their mutation operator. Recently, much attention has been devoted to the study of mutation operators with dynamic and non-uniform muta…

cs.CC2018

Counting Homomorphisms to Trees Modulo a Prime

Andreas Göbel, J. A. Gregor Lagodzinski, Karen Seidel

Many important graph theoretic notions can be encoded as counting graph homomorphism problems, such as partition functions in statistical physics, in particular, independent sets a…