Vincent Conitzer

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Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Lirong XiaProfessor of Computer Science, Rutgers University - New Brunswick; Deputy Director of DIMACSVerified email at rutgers.edu
Jerome Langsenior researcher at CNRSVerified email at lamsade.dauphine.fr
Mingyu GuoSenior Lecturer at School of Computer and Mathematical Sciences, University of AdelaideVerified email at adelaide.edu.au
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
Felix BrandtProfessor of Computer Science, Technische Universität MünchenVerified email at in.tum.de
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Markus BrillUniversity of WarwickVerified email at warwick.ac.uk
Liad WagmanDean and Professor of Economics, Lally School of Management, Rensselaer Polytechnic InstituteVerified email at rpi.edu
Makoto YokooKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Ronald ParrProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Atsushi IwasakiUniversity of Electro-CommunicationsVerified email at is.uec.ac.jp
Toby WalshProfessor, UNSW and CSIRO Data61Verified email at cse.unsw.edu.au
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
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
Shaddin DughmiAssociate Professor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Haifeng XuUniversity of ChicagoVerified email at uchicago.edu
Paolo SantiIIT - CNR, Pisa - Italy and MIT Senseable City LabVerified email at iit.cnr.it

Vincent Conitzer

Professor of CS, Carnegie Mellon University; Professor of CS and Philosophy, University of Oxford

Verified email at cs.cmu.edu - Homepage

artificial intelligence computer science economics philosophy game theory


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Handbook of computational social choice F Brandt, V Conitzer, U Endriss, J Lang, AD Procaccia Cambridge University Press, 2016	1237	2016
Computing the optimal strategy to commit to V Conitzer, T Sandholm Proceedings of the 7th ACM conference on Electronic commerce, 82-90, 2006	648	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	420	2007
Complexity of mechanism design V Conitzer, T Sandholm arXiv preprint cs/0205075, 2002	416	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, 23-43, 2007	363	2007
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	354	2011
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	353	2017
Complexity results about Nash equilibria V Conitzer, T Sandholm arXiv preprint cs/0205074, 2002	333	2002
New complexity results about Nash equilibria V Conitzer, T Sandholm Games and Economic Behavior 63 (2), 621-641, 2008	295	2008
Determining possible and necessary winners given partial orders L Xia, V Conitzer Journal of Artificial Intelligence Research 41, 25-67, 2011	285	2011
Computational social choice F Brandt, V Conitzer, U Endriss Multiagent systems 2, 213-284, 2012	270	2012
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	258	2011
Improved bounds for computing Kemeny rankings V Conitzer, A Davenport, J Kalagnanam AAAI 6, 620-626, 2006	250	2006
Complexity of computing optimal stackelberg strategies in security resource allocation games D Korzhyk, V Conitzer, R Parr Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 805-810, 2010	245	2010
Common voting rules as maximum likelihood estimators V Conitzer, T Sandholm arXiv preprint arXiv:1207.1368, 2012	235	2012
Hide and seek: Costly consumer privacy in a market with repeat purchases V Conitzer, CR Taylor, L Wagman Marketing Science 31 (2), 277-292, 2012	227	2012
Moral decision making frameworks for artificial intelligence V Conitzer, W Sinnott-Armstrong, JS Borg, Y Deng, M Kramer Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	219	2017
Preference functions that score rankings and maximum likelihood estimation V Conitzer, M Rognlie, L Xia Twenty-First International Joint Conference on Artificial Intelligence, 2009	217	2009
Mixed-integer programming methods for finding Nash equilibria T Sandholm, A Gilpin, V Conitzer AAAI, 495-501, 2005	217	2005
Computing Shapley values, manipulating value division schemes, and checking core membership in multi-issue domains V Conitzer, T Sandholm AAAI 4, 219-225, 2004	193	2004

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