Vincent Conitzer

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Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Lirong XiaAssociate Professor, Rensselaer Polytechnic Institute (RPI)Verified email at cs.rpi.edu
Jerome Langsenior researcher at CNRSVerified email at lamsade.dauphine.fr
Mingyu GuoLecturer of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Milind TambeDirector CRCS Center @Harvard; Director "AI for Social Good" @Google India ResearchVerified email at harvard.edu
Felix BrandtProfessor of Computer Science, Technische Universität MünchenVerified email at in.tum.de
Makoto YokooKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Liad WagmanProfessor of Economics, Stuart School of Business, Illinois Institute of TechnologyVerified email at stuart.iit.edu
Atsushi IwasakiUniversity of Electro-CommunicationsVerified email at is.uec.ac.jp
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Markus BrillTU BerlinVerified email at tu-berlin.de
Ronald ParrProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Toby WalshProfessor, UNSW and CSIRO Data61Verified email at cse.unsw.edu.au
Kamesh MunagalaProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Christopher KiekintveldUniversity of Texas at El PasoVerified email at utep.edu
Zhengyu YinComputer Science USCVerified email at usc.edu
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Shaddin DughmiAssociate Professor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Jeffrey S. RosenscheinProfessor of Computer Science, Hebrew UniversityVerified email at cs.huji.ac.il
Haifeng XuUniversity of ChicagoVerified email at uchicago.edu

Vincent Conitzer

Duke University

Verified email at cs.duke.edu - Homepage

computer science economics artificial intelligence game theory social choice and mechanism design


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Handbook of computational social choice F Brandt, V Conitzer, U Endriss, J Lang, AD Procaccia Cambridge University Press, 2016	776	2016
Computing the optimal strategy to commit to V Conitzer, T Sandholm Proceedings of the 7th ACM conference on Electronic commerce, 82-90, 2006	520	2006
When are elections with few candidates hard to manipulate? V Conitzer, T Sandholm, J Lang Journal of the ACM (JACM) 54 (3), 14-es, 2007	399	2007
Complexity of mechanism design V Conitzer, T Sandholm arXiv preprint cs/0205075, 2002	342	2002
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents V Conitzer, T Sandholm Machine Learning 67 (1), 23-43, 2007	331	2007
Complexity results about Nash equilibria V Conitzer, T Sandholm arXiv preprint cs/0205074, 2002	306	2002
Stackelberg vs. Nash in security games: An extended investigation of interchangeability, equivalence, and uniqueness D Korzhyk, Z Yin, C Kiekintveld, V Conitzer, M Tambe Journal of Artificial Intelligence Research 41, 297-327, 2011	296	2011
Determining possible and necessary winners given partial orders L Xia, V Conitzer Journal of Artificial Intelligence Research 41, 25-67, 2011	253	2011
New complexity results about Nash equilibria V Conitzer, T Sandholm Games and Economic Behavior 63 (2), 621-641, 2008	243	2008
Computational social choice F Brandt, V Conitzer, U Endriss Multiagent systems 2, 213-284, 2012	238	2012
Justified representation in approval-based committee voting H Aziz, M Brill, V Conitzer, E Elkind, R Freeman, T Walsh Social Choice and Welfare 48 (2), 461-485, 2017	233	2017
A double oracle algorithm for zero-sum security games on graphs M Jain, D Korzhyk, O Vaněk, V Conitzer, M Pěchouček, M Tambe The 10th International Conference on Autonomous Agents and Multiagent …, 2011	219	2011
Common voting rules as maximum likelihood estimators V Conitzer, T Sandholm arXiv preprint arXiv:1207.1368, 2012	218	2012
Complexity of computing optimal stackelberg strategies in security resource allocation games D Korzhyk, V Conitzer, R Parr Twenty-fourth aaai conference on artificial intelligence, 2010	208	2010
Improved bounds for computing Kemeny rankings V Conitzer, A Davenport, J Kalagnanam AAAI 6, 620-626, 2006	208	2006
Computing Shapley values, manipulating value division schemes, and checking core membership in multi-issue domains V Conitzer, T Sandholm AAAI 4, 219-225, 2004	190	2004
Mixed-integer programming methods for finding Nash equilibria T Sandholm, A Gilpin, V Conitzer AAAI, 495-501, 2005	188	2005
Preference functions that score rankings and maximum likelihood estimation V Conitzer, M Rognlie, L Xia Twenty-First International Joint Conference on Artificial Intelligence, 2009	185	2009
Universal voting protocol tweaks to make manipulation hard V Conitzer, T Sandholm arXiv preprint cs/0307018, 2003	179	2003
Vote elicitation: Complexity and strategy-proofness V Conitzer, T Sandholm AAAI/IAAI, 392-397, 2002	177	2002

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