Vincent Conitzer

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Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Lirong XiaAssociate Professor, Rensselaer Polytechnic Institute (RPI)Email confirmado em cs.rpi.edu
Jerome Langsenior researcher at CNRSEmail confirmado em lamsade.dauphine.fr
Mingyu GuoLecturer of Computer Science, University of AdelaideEmail confirmado em adelaide.edu.au
Milind TambeDirector CRCS Center @Harvard; Director "AI for Social Good" @Google India ResearchEmail confirmado em harvard.edu
Felix BrandtProfessor of Computer Science, Technische Universität MünchenEmail confirmado em in.tum.de
Makoto YokooKyushu UniversityEmail confirmado em inf.kyushu-u.ac.jp
Liad WagmanProfessor of Economics, Stuart School of Business, Illinois Institute of TechnologyEmail confirmado em stuart.iit.edu
Atsushi IwasakiUniversity of Electro-CommunicationsEmail confirmado em is.uec.ac.jp
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityEmail confirmado em seas.harvard.edu
Markus BrillTU BerlinEmail confirmado em tu-berlin.de
Ronald ParrProfessor of Computer Science, Duke UniversityEmail confirmado em cs.duke.edu
Toby WalshProfessor, UNSW and CSIRO Data61Email confirmado em cse.unsw.edu.au
Kamesh MunagalaProfessor of Computer Science, Duke UniversityEmail confirmado em cs.duke.edu
Christopher KiekintveldUniversity of Texas at El PasoEmail confirmado em utep.edu
Zhengyu YinComputer Science USCEmail confirmado em usc.edu
Fei FangCarnegie Mellon UniversityEmail confirmado em cmu.edu
Shaddin DughmiAssociate Professor of Computer Science, University of Southern CaliforniaEmail confirmado em usc.edu
Jeffrey S. RosenscheinProfessor of Computer Science, Hebrew UniversityEmail confirmado em cs.huji.ac.il
Haifeng XuUniversity of ChicagoEmail confirmado em uchicago.edu

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Vincent Conitzer

Duke University

Email confirmado em cs.duke.edu - Página inicial

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


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Handbook of computational social choice F Brandt, V Conitzer, U Endriss, J Lang, AD Procaccia Cambridge University Press, 2016	798	2016
Computing the optimal strategy to commit to V Conitzer, T Sandholm Proceedings of the 7th ACM conference on Electronic commerce, 82-90, 2006	524	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	398	2007
Complexity of mechanism design V Conitzer, T Sandholm arXiv preprint cs/0205075, 2002	344	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	332	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	299	2011
Determining possible and necessary winners given partial orders L Xia, V Conitzer Journal of Artificial Intelligence Research 41, 25-67, 2011	256	2011
New complexity results about Nash equilibria V Conitzer, T Sandholm Games and Economic Behavior 63 (2), 621-641, 2008	245	2008
Computational social choice F Brandt, V Conitzer, U Endriss Multiagent systems 2, 213-284, 2012	240	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	238	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	221	2011
Common voting rules as maximum likelihood estimators V Conitzer, T Sandholm arXiv preprint arXiv:1207.1368, 2012	219	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	211	2010
Improved bounds for computing Kemeny rankings V Conitzer, A Davenport, J Kalagnanam AAAI 6, 620-626, 2006	210	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	191	2004
Mixed-integer programming methods for finding Nash equilibria T Sandholm, A Gilpin, V Conitzer AAAI, 495-501, 2005	189	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	188	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	178	2002

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