Ebadian S., Kahng A., Peters D., Shah N. (2024), Optimized Distortion and Proportional Fairness in Voting, ACM Transactions on Economics and Computation, vol. 12, n°1, p. 1-39
Yang J., Hausladen C., Peters D., Pournaras E., Hänggli Fricker R., Helbing D. (2024), Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting, Digital Government: Research and Practice
Airiau S., Aziz H., Caragiannis I., Kruger J., Lang J., Peters D. (2023), Portioning Using Ordinal Preferences: Fairness and Efficiency, Artificial Intelligence, vol. 314, p. 103809
Brandl F., Peters D. (2022), Approval voting under dichotomous preferences: A catalogue of characterizations, Journal of Economic Theory, vol. 205, p. 105532
Brill M., Gölz P., Peters D., Schmidt-Kraepelin U., Wilker K. (2022), Approval-based apportionment, Mathematical Programming
Brandl F., Brandt F., Greger M., Peters D., Stricker C., Suksompong W. (2022), Funding public projects: A case for the Nash product rule, Journal of Mathematical Economics, vol. 99
Lederer P., Peters D., WAS T. (2024), The Squared Kemeny Rule for Averaging Rankings, in , New York, NY, ACM - Association for Computing Machinery, 755 p.
Peters D. (2024), Proportional Representation for Artificial Intelligence, in Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto Bugarín-Diz, José M. Alonso-Moral, Senén Barro, Fredrik Heintz, ECAI 2024, IOS Press, 27-31 p.
Boehmer N., Faliszewski P., Peters D., Janeczko L., Pierczynski G., Schierreich S., Skowron P., SZUFA S. (2024), Evaluation of Project Performance in Participatory Budgeting, in Kate Larson, International Joint Conferences on Artificial Intelligence Organization (IJCAI)
Chandak N., Goel S., Peters D. (2024), Proportional Aggregation of Preferences for Sequential Decision Making, in Michael Wooldridge ; Jennifer Dy ; Sriraam Natarajan, Palo Alto (USA), AAAI Press, 9573-9581 p.
Delemazure T., Peters D. (2024), Generalizing Instant Runoff Voting to Allow Indifferences, in Dirk Bergemann, Robert Kleinberg, Daniela Saban, New York, NY, ACM - Association for Computing Machinery, 50 p.
Brill M., Dindar H., Israel J., Lang J., Peters D., Schmidt-Kraepelin U. (2023), Multiwinner Voting with Possibly Unavailable Candidates, in Brian Williams ; Yiling Chen ; Jennifer Neville, Association for the Advancement of Artificial Intelligence (AAAI), 5532-5539 p.
Boehmer N., Bredereck R., Peters D. (2023), Rank Aggregation Using Scoring Rules, in Brian Williams ; Yiling Chen ; Jennifer Neville, Palo Alto (USA), AAAI Press, 5515-5523 p.
Gölz P., Peters D., Procaccia A. (2022), In This Apportionment Lottery, the House Always Wins, in , elsevier, New York, NY, ACM - Association for Computing Machinery, 562 p.
Ebadian S., Kahng A., Peters D., Shah N. (2022), Optimized Distortion and Proportional Fairness in Voting, in , elsevier, New York, NY, ACM - Association for Computing Machinery, 563–600 p.
Ebadian S., Peters D., Shah N. (2022), How to Fairly Allocate Easy and Difficult Chores, in , elsevier, New York, NY, ACM - Association for Computing Machinery, 372–380 p.
Ayadi M., Ben Amor N., Lang J., Peters D. (2019), Single Transferable Vote: Incomplete Knowledge and Communication Issues, in E. Elkind, M. Veloso, 18th International Conference on Autonomous Agents and Multiagent Systems, IFAAMAS, 1288-1296 p.
Peters D., Procaccia A., Zhu D. (2022), Robust Rent Division, Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, États-Unis