MAKING THE CUT: A BANDIT-BASED APPROACH TO TIERED INTERVIEWING

von Schumann, Candice
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

Group Fairness in Bandits with Biased Feedback

von Schumann, Candice
Veröffentlicht in International Conference on Autonomous Agents and Multiagent Systems (21. : 2022 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) ; Volume 2 of 3 (2022)

WE NEED FAIRNESS AND EXPLAINABILITY IN ALGORITHMIC HIRING

von Schumann, Candice
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

MEASURING NON-EXPERT COMPREHENSION OF MACHINE LEARNING FAIRNESS METRICS

von Saha, Debjani
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 11 of 15 (2021)