Piotr Faliszewski, Ph.D.
Affiliations: | 2009 | University of Rochester, Rochester, NY |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Piotr Faliszewski"Parents
Sign in to add mentorLane A. Hemaspaandra | grad student | 2009 | Rochester | |
(Manipulation of elections: Algorithms and infeasibility results.) |
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Publications
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Bredereck R, Faliszewski P, Niedermeier R, et al. (2020) Mixed integer programming with convex/concave constraints: Fixed-parameter tractability and applications to multicovering and voting Theoretical Computer Science. 814: 86-105 |
Skowron P, Faliszewski P, Slinko AM. (2019) Axiomatic Characterization of Committee Scoring Rules Journal of Economic Theory. 180: 244-273 |
Gawron G, Faliszewski P. (2019) Robustness of Approval-Based Multiwinner Voting Rules Annales Des TéLéCommunications. 17-31 |
Skowron P, Faliszewski P. (2017) Chamberlin--Courant Rule with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time Journal of Artificial Intelligence Research. 60: 687-716 |
Faliszewski P, Sawicki J, Schaefer R, et al. (2017) Multiwinner Voting in Genetic Algorithms Ieee Intelligent Systems. 32: 40-48 |
Faliszewski P, Smołka M, Schaefer R, et al. (2016) On the Computational Cost and Complexity of Stochastic Inverse Solvers Computer Science. 17: 225-264 |
Skowron P, Faliszewski P, Lang J. (2016) Finding a collective set of items Artificial Intelligence. 241: 191-216 |
Magiera K, Faliszewski P. (2016) How hard is control in single-crossing elections? Autonomous Agents and Multi-Agent Systems. 1-22 |
Put T, Faliszewski P. (2016) The complexity of voter control and shift bribery under parliament choosing rules Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9760: 29-50 |
Chen J, Faliszewski P, Niedermeier R, et al. (2015) Elections with few voters: Candidate control can be easy Proceedings of the National Conference On Artificial Intelligence. 3: 2045-2051 |