10 citations · 12 across the 3 of their papers we have counts for
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cs.LG2022★ 10 cited
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Böther, Otto Kißig, Martin Taraz +3
Combinatorial optimization lies at the core of many real-world problems. Especially since the rise of graph neural networks (GNNs), the deep learning community has been developing…
cs.LG2020
Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners
Ardalan Khazraei, Timo Kötzing, Karen Seidel
In order to model an efficient learning paradigm, iterative learning algorithms access data one by one, updating the current hypothesis without regress to past data. Past research…