Fair pairwise learning to rank. - Mattia Cerrato; Marius Köppel; Alexander Segner; Roberto Esposito; Stefan Kramer 001 (DSAA, 2020)

Fair Group-Shared Representations with Normalizing Flows. - Mattia Cerrato; Marius Köppel; Alexander Segner; Stefan Kramer 001 (CoRR, 2022)

Fair Interpretable Learning via Correction Vectors. - Mattia Cerrato; Marius Köppel; Alexander Segner; Stefan Kramer 001 (CoRR, 2022)

Fair Interpretable Representation Learning with Correction Vectors. - Mattia Cerrato; Alesia Vallenas Coronel; Marius Köppel; Alexander Segner; Roberto Esposito; Stefan Kramer 001 (CoRR, 2022)

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 001 (Mach. Learn., 2025)