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Research map / Learning theory and algorithms / Submodular and game algorithms

Robust Submodular Maximization: A Non-Uniform Partitioning Approach

ICML 2017 · Learning theory and algorithms › Submodular and game algorithms · approach: Monotone submodular maximization · 35 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use non-uniform, exponentially sized buckets in place of OSU's equal-sized robust bucketsRobust submodular maximization · Robust monotone submodular maximizationmaximum robustness: o(√k) -> o(k)Helped
Use PRo-Greedy instead of OSURobust influence maximization · ego-Facebook and ego-Twitterworst-case objectiveHelped
Use PRo-Greedy instead of OSURobust image summarization · Tiny10 and CM-Moleculesworst-case objectiveMixed
Use PRo-Greedy instead of GreedyRobust image summarization · Tiny10worst-case objectiveHurt
Replace the greedy subroutine with Stochastic-Greedy (ablation)PRo · Robust objective under a greedy adversary, k=100objective valueHurt

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