Professor in the Department of Economics
- Ph.D., Carnegie Mellon University 2006
- M.S., Carnegie Mellon University 2003
- B.A., Harvard University 2001
Conitzer, V. “The exact computational complexity of evolutionarily stable strategies.” Mathematics of Operations Research 44, no. 3 (January 1, 2019): 783–92. https://doi.org/10.1287/moor.2018.0945. Full Text
Ueda, S., A. Iwasaki, V. Conitzer, N. Ohta, Y. Sakurai, and M. Yokoo. “Coalition structure generation in cooperative games with compact representations.” Autonomous Agents and Multi Agent Systems 32, no. 4 (July 1, 2018): 503–33. https://doi.org/10.1007/s10458-018-9386-z. Full Text
Kolb, Aaron, and Vincent Conitzer. “Crying about a Strategic Wolf.” Kelley School of Business Research Paper, no. 16 (March 13, 2018).
Conitzer, V. “Technical perspective designing algorithms and the fairness criteria they should satisfy.” Communications of the Acm 61, no. 2 (February 1, 2018). https://doi.org/10.1145/3166066. Full Text
Conitzer, V., and P. Mcafee. “Farewell Editorial: Looking Back on Our Terms Editing ACM TEAC and into the Future.” Acm Transactions on Economics and Computation 5, no. 2 (May 1, 2017). https://doi.org/10.1145/3079047. Full Text
Aziz, H., M. Brill, V. Conitzer, E. Elkind, R. Freeman, and T. Walsh. “Justified representation in approval-based committee voting.” Social Choice and Welfare 48, no. 2 (February 1, 2017): 461–85. https://doi.org/10.1007/s00355-016-1019-3. Full Text
Brandt, F., V. Conitzer, U. Endriss, J. Lang, and A. D. Procaccia. “Introduction to computational social choice.” In Handbook of Computational Social Choice, 1–20, 2016. https://doi.org/10.1017/CBO9781107446984.002. Full Text
Yin, Z., D. Korzhyk, C. Kiekintveld, V. Conitzer, and M. Tambe. “Stackelberg versus nash in security games: Interchangeability, equivalence, and uniqueness.” In Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned, 9781107096424:233–53, 2011. https://doi.org/10.1017/CBO9780511973031.012. Full Text
Conitzer, V., G. Hadfield, and S. Vallor. “AIES 2019 program chairs' welcome.” In Aies 2019 Proceedings of the 2019 Aaai/Acm Conference on Ai, Ethics, and Society, III–IV, 2019.
Kramer, M. F., J. Schaich Borg, V. Conitzer, and W. Sinnott-Armstrong. “When Do People Want AI to Make Decisions?.” In Aies 2018 Proceedings of the 2018 Aaai/Acm Conference on Ai, Ethics, and Society, 204–9, 2018. https://doi.org/10.1145/3278721.3278752. Full Text
Freeman, R., V. Conitzer, S. M. Zahedi, and B. C. Lee. “Dynamic proportional sharing: A game-theoretic approach.” In Sigmetrics 2018 Abstracts of the 2018 Acm International Conference on Measurement and Modeling of Computer Systems, 33–35, 2018. https://doi.org/10.1145/3219617.3219631. Full Text
Conitzer, V., W. Sinnott-Armstrong, J. S. Borg, Y. Deng, and M. Kramer. “Moral decision making frameworks for artificial intelligence.” In International Symposium on Artificial Intelligence and Mathematics, Isaim 2018, 2018.
Freedman, R., J. P. Dickerson, J. S. Borg, W. Sinnott-Armstrong, and V. Conitzer. “Adapting a kidney exchange algorithm to align with human values.” In 32nd Aaai Conference on Artificial Intelligence, Aaai 2018, 1636–43, 2018.
De Weerdt, M. M., V. Conitzer, M. Albert, and K. Van Der Linden. “Complexity of scheduling charging in the smart grid.” In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, Aamas, 3:1924–26, 2018.
De Weerdt, M., M. Albert, V. Conitzer, and K. Van Der Linden. “Complexity of scheduling charging in the smart grid.” In Ijcai International Joint Conference on Artificial Intelligence, 2018-July:4736–42, 2018.
Deng, Y., and V. Conitzer. “Disarmament games with resources.” In 32nd Aaai Conference on Artificial Intelligence, Aaai 2018, 981–88, 2018.
Conitzer, V., R. Freeman, and N. Shah. “Fair public decision making.” In Ec 2017 Proceedings of the 2017 Acm Conference on Economics and Computation, 629–46, 2017. https://doi.org/10.1145/3033274.3085125. Full Text
RI: Small: Designing Preferences, Beliefs, and Identities for Artificial Intelligence awarded by National Science Foundation (Principal Investigator). 2018 to 2021
Google US/Canada PhD Fellowship in Market Algorithms - Deng awarded by Google Inc. (Principal Investigator). 2018 to 2020
Explainability and Trade Secrecy in AI-Enabled Clinical Decision Support, Diagnostic, and Predictive Software awarded by Greenwall Foundation (Advisor). 2019 to 2020
RI: Small: New Directions in Computational Social Choice and Mechanism Design awarded by National Science Foundation (Principal Investigator). 2015 to 2019
XPS: CLCCA: Allocating Heterogeneous Datacenter Hardware to Strategic Agents awarded by National Science Foundation (Co-Principal Investigator). 2013 to 2019
Realizing Cyber Inception: Towards a Science of Personalized Deception for Cyber Defense awarded by University of Southern California (Principal Investigator). 2018
How to Build Ethics into Robust Artificial Intelligence awarded by (Principal Investigator). 2015 to 2018
Computing Game-Theoretic Solutions for Security in the Medium Term awarded by Army Research Office (Principal Investigator). 2012 to 2017
Game Theory for Adversarial Behavior awarded by University of Southern California (Principal Investigator). 2011 to 2017
Mechanism Design for Highly Anonymous Environments awarded by National Science Foundation (Principal Investigator). 2011 to 2015