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Alfredo Torrico

2 accepted papers

2020

On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness

ICML 2020poster

It is well known that the standard greedy algorithm guarantees a worst-case approximation factor of $1-1/e$ when maximizing a monotone submodular function under a cardinality constraint. However, empirical studies show that its performance is substantially better in practice. This raises a natural q…

Cited by 11SourcePDFScholar
2019

Structured Robust Submodular Maximization: Offline and Online Algorithms

AISTATS 2019poster

Constrained submodular function maximization has been used in subset selection problems such as selection of most informative sensor locations. While these models have been quite popular, the solutions obtained via this approach are unstable to perturbations in data defining the submodular functions…

Cited by 42SourcePDFScholar