Ҫiҫek, E.: Relational Cost Analysis. Dissertation, XV, 459 pp., Universität des Saarlandes, Saarbrücken (2018)

Biega, A. J.; Gummadi, K. P.; Weikum, G.: Equity of Attention: Amortizing Individual Fairness in Rankings. (2018), 10 pp.

Chen, Y.; Singla, A.; Mac Aodha, O.; Perona, P.; Yue, Y.: Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. (2018), 25 pp.

Francis, P.; Probst-Eide, S.; Obrok, P.; Berneanu, C.; Juric, S.; Munz, R.: Extended Diffix. (2018), 26 pp.

Gavran, I.; Boldt, B.; Darulova, E.; Majumdar, R.: Precise but Natural Specification for Robot Tasks. (2018), 7 pp.

Haug, L.; Tschiatschek, S.; Singla, A.: Teaching Inverse Reinforcement Learners via Features and Demonstrations. (2018), 13 pp.

Heidari, H.; Ferrari, C.; Gummadi, K. P.; Krause, A.: Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making. (2018), 17 pp.

Neider, D.; Gavran, I.: Learning Linear Temporal Properties. (2018), 10 pp.

Upadhyay, U.; De, A.; Gomez Rodriguez, M.: Deep Reinforcement Learning of Marked Temporal Point Processes. (2018), 20 pp.

Valera, I.; Singla, A.; Gomez Rodriguez, M.: Enhancing the Accuracy and Fairness of Human Decision Making. (2018), 11 pp.

Zhu, X.; Singla, A.; Zilles, S.; Rafferty, A. N.: An Overview of Machine Teaching. (2018), 18 pp.

Majumdar, R.; Piterman, N.; Schmuck, A.-K.: Environmentally-friendly GR(1) Synthesis. Max Planck Institute for Software Systems, Saarbrücken (2018), 33 pp.

Munz, R.; Eigner, F.; Maffei, M.; Francis, P.; Garg, D.: UniTraX: Protecting Data Privacy with Discoverable Biases. Max Planck Institute for Software Systems, Saarbrücken (2018), 29 pp.

Yalcinkaya, B.; Nasri, M.; Brandenburg, B.: An Exact Schedulability Test for Non-Preemptive Self-Suspending Real-Time Tasks. Max Planck Institute for Software Systems, Saarbrücken (2018), 8 pp.