65 citations · 153 across the 12 of their papers we have counts for
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cs.LG2021
Online Feature Selection for Efficient Learning in Networked Systems
Xiaoxuan Wang, Rolf Stadler
Current AI/ML methods for data-driven engineering use models that are mostly trained offline. Such models can be expensive to build in terms of communication and computing cost, an…
cs.LG2021★ 25 cited
Intrusion Prevention through Optimal Stopping
Kim Hammar, Rolf Stadler
We study automated intrusion prevention using reinforcement learning. Following a novel approach, we formulate the problem of intrusion prevention as an (optimal) multiple stopping…
cs.AI2021★ 22 cited
Learning Intrusion Prevention Policies through Optimal Stopping
Kim Hammar, Rolf Stadler
We study automated intrusion prevention using reinforcement learning. In a novel approach, we formulate the problem of intrusion prevention as an optimal stopping problem. This for…