1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Human Guided Learning of Transparent Regression Models
Lukas Pensel, Stefan Kramer
We present a human-in-the-loop (HIL) approach to permutation regression, the novel task of predicting a continuous value for a given ordering of items. The model is a gradient boos…
cs.LG2022★ 1 cited
Neural RELAGGS
Lukas Pensel, Stefan Kramer
Multi-relational databases are the basis of most consolidated data collections in science and industry today. Most learning and mining algorithms, however, require data to be repre…
cs.IR2019
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
Marius Köppel, Alexander Segner, Martin Wagener +3
We present a pairwise learning to rank approach based on a neural net, called DirectRanker, that generalizes the RankNet architecture. We show mathematically that our model is refl…