Vincent Conitzer

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Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Lirong XiaAssociate Professor, Rensselaer Polytechnic Institute (RPI)Email verificata su cs.rpi.edu
Jerome Langsenior researcher at CNRSEmail verificata su lamsade.dauphine.fr
Mingyu GuoLecturer of Computer Science, University of AdelaideEmail verificata su adelaide.edu.au
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchEmail verificata su harvard.edu
Felix BrandtProfessor of Computer Science, Technische Universität MünchenEmail verificata su in.tum.de
Liad WagmanProfessor of Economics, Stuart School of Business, Illinois Institute of TechnologyEmail verificata su stuart.iit.edu
Markus BrillUniversity of WarwickEmail verificata su warwick.ac.uk
Makoto YokooKyushu UniversityEmail verificata su inf.kyushu-u.ac.jp
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityEmail verificata su seas.harvard.edu
Atsushi IwasakiUniversity of Electro-CommunicationsEmail verificata su is.uec.ac.jp
Ronald ParrProfessor of Computer Science, Duke UniversityEmail verificata su cs.duke.edu
Toby WalshProfessor, UNSW and CSIRO Data61Email verificata su cse.unsw.edu.au
Kamesh MunagalaProfessor of Computer Science, Duke UniversityEmail verificata su cs.duke.edu
Fei FangCarnegie Mellon UniversityEmail verificata su cmu.edu
Christopher KiekintveldUniversity of Texas at El PasoEmail verificata su utep.edu
Zhengyu YinComputer Science USCEmail verificata su usc.edu
Shaddin DughmiAssociate Professor of Computer Science, University of Southern CaliforniaEmail verificata su usc.edu
Haifeng XuUniversity of ChicagoEmail verificata su uchicago.edu
Michal Pechoucek Professor of Computer Science, Czech Technical University, Head of Agent Technology CenterEmail verificata su fel.cvut.cz

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Vincent Conitzer

Carnegie Mellon University

Email verificata su cs.cmu.edu - Home page

artificial intelligence computer science economics philosophy game theory


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Handbook of computational social choice F Brandt, V Conitzer, U Endriss, J Lang, AD Procaccia Cambridge University Press, 2016	957	2016
Computing the optimal strategy to commit to V Conitzer, T Sandholm Proceedings of the 7th ACM conference on Electronic commerce, 82-90, 2006	575	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	316	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	263	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	236	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	220	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	197	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	183	2012

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