25 citations · 40 across the 14 of their papers we have counts for
6 papers · 1 filter
The Cost of Consistency: Submodular Maximization with Constant Recourse
Paul Dütting, Federico Fusco, Silvio Lattanzi +3
In this work, we study online submodular maximization, and how the requirement of maintaining a stable solution impacts the approximation. In particular, we seek bounds on the best…
Consistent Submodular Maximization
Paul Dütting, Federico Fusco, Silvio Lattanzi +2
Maximizing monotone submodular functions under cardinality constraints is a classic optimization task with several applications in data mining and machine learning. In this paper w…
Fully Dynamic Submodular Maximization over Matroids
Paul Dütting, Federico Fusco, Silvio Lattanzi +2
Maximizing monotone submodular functions under a matroid constraint is a classic algorithmic problem with multiple applications in data mining and machine learning. We study this c…
Deletion Robust Non-Monotone Submodular Maximization over Matroids
Paul Dütting, Federico Fusco, Silvio Lattanzi +2
Maximizing a submodular function is a fundamental task in machine learning and in this paper we study the deletion robust version of the problem under the classic matroids constrai…
Deletion Robust Submodular Maximization over Matroids
Paul Dütting, Federico Fusco, Silvio Lattanzi +2
Maximizing a monotone submodular function is a fundamental task in machine learning. In this paper, we study the deletion robust version of the problem under the classic matroids c…
Single-Sample Prophet Inequalities via Greedy-Ordered Selection
Constantine Caramanis, Paul Dütting, Matthew Faw +6
We study single-sample prophet inequalities (SSPIs), i.e., prophet inequalities where only a single sample from each prior distribution is available. Besides a direct, and optimal,…