Alexander Segner

According to our database, Alexander Segner authored at least 5 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Fair Interpretable Representation Learning with Correction Vectors.

Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer

CoRR, 2022

Fair Interpretable Learning via Correction Vectors.

Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer

CoRR, 2022

Fair Group-Shared Representations with Normalizing Flows.

Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer

CoRR, 2022

2020

Fair pairwise learning to rank.

Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.

Marius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019