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 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
Liad WagmanProfessor of Economics, Stuart School of Business, Illinois Institute of TechnologyVerified email at stuart.iit.edu
Markus BrillUniversity of WarwickVerified email at warwick.ac.uk
Makoto YokooKyushu UniversityVerified email at inf.kyushu-u.ac.jp
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Atsushi IwasakiUniversity of Electro-CommunicationsVerified email at is.uec.ac.jp
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
Fei FangCarnegie Mellon UniversityVerified email at cmu.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
Michal Pechoucek Professor of Computer Science, Czech Technical University, Head of Agent Technology CenterVerified email at fel.cvut.cz

Vincent Conitzer

Carnegie Mellon University

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	955	2016
Computing the optimal strategy to commit to V Conitzer, T Sandholm Proceedings of the 7th ACM conference on Electronic commerce, 82-90, 2006	573	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	404	2007
Complexity of mechanism design V Conitzer, T Sandholm arXiv preprint cs/0205075, 2002	367	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	342	2007
Complexity results about Nash equilibria V Conitzer, T Sandholm arXiv preprint cs/0205074, 2002	318	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	315	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	268	2017
Determining possible and necessary winners given partial orders L Xia, V Conitzer Journal of Artificial Intelligence Research 41, 25-67, 2011	268	2011
New complexity results about Nash equilibria V Conitzer, T Sandholm Games and Economic Behavior 63 (2), 621-641, 2008	262	2008
Computational social choice F Brandt, V Conitzer, U Endriss Multiagent systems 2, 213-284, 2012	248	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	235	2011
Improved bounds for computing Kemeny rankings V Conitzer, A Davenport, J Kalagnanam AAAI 6, 620-626, 2006	225	2006
Common voting rules as maximum likelihood estimators V Conitzer, T Sandholm arXiv preprint arXiv:1207.1368, 2012	222	2012
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	219	2010
Preference functions that score rankings and maximum likelihood estimation V Conitzer, M Rognlie, L Xia Twenty-First International Joint Conference on Artificial Intelligence, 2009	197	2009
Mixed-integer programming methods for finding Nash equilibria T Sandholm, A Gilpin, V Conitzer AAAI, 495-501, 2005	196	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	195	2004
Universal voting protocol tweaks to make manipulation hard V Conitzer, T Sandholm arXiv preprint cs/0307018, 2003	188	2003
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	182	2012

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