Sparse randomized shortest paths routing with Tsallis divergence regularization. - Pierre Leleux; Sylvain Courtain; Guillaume Guex; Marco Saerens (Data Min. Knowl. Discov., 2021)

Randomized shortest paths with net flows and capacity constraints. - Sylvain Courtain; Pierre Leleux; Ilkka Kivimäki; Guillaume Guex; Marco Saerens (Inf. Sci., 2021)

Maximum Entropy Logistic Regression for Demographic Parity in Supervised Classification. - Flore Vancompernolle Vromman; Sylvain Courtain; Pierre Leleux; Constantin de Schaetzen; Eve Beghein; Alexia Kneip; Marco Saerens (BNAIC/BENELEARN, 2023)

Entropy-regularized biased random walks on a graph: applications to network data analysis. - Pierre Leleux (2023)

In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendations. - Chloe Satinet; François Fouss; Marco Saerens; Pierre Leleux (Electron. Commer. Res. Appl., 2024)

Sparse randomized policies for Markov decision processes based on Tsallis divergence regularization. - Pierre Leleux; Bertrand Lebichot; Guillaume Guex; Marco Saerens (Knowl. Based Syst., 2024)