| Fairness in Criminal Justice Risk Assessments: The State of the Art R Berk, H Heidari, S Jabbari, M Kearns, A Roth Sociological Methods & Research 50 (1), 3-44, 2018 | 360 | 2018 |
| Adaptive Task Assignment for Crowdsourced Classification CJ Ho, S Jabbari, JW Vaughan 30th International Conference on Machine Learning (ICML-13), 534-542, 2013 | 287 | 2013 |
| A Convex Framework for Fair Regression R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ... Fairness, Accountability, and Transparency in Machine Learning (FATML-17), 2017 | 112 | 2017 |
| Fairness in Reinforcement Learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth 34th International Conference on Machine Learning (ICML-17), 1617-1626, 2017 | 93* | 2017 |
| Modeling Between-Population Variation in COVID-19 Dynamics in Hubei, Lombardy, and New York City B Wilder, M Charpignon, J Killian, HC Ou, A Mate, S Jabbari, A Perrault, ... Proceedings of the National Academy of Sciences (PNAS) 117 (41), 25904-25910, 2020 | 43 | 2020 |
| Online Assignment of Heterogeneous Tasks in Crowdsourcing Markets S Assadi, J Hsu, S Jabbari 3rd AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15), 12-21, 2015 | 39 | 2015 |
| Fair Algorithms for Learning in Allocation Problems H Elzayn, S Jabbari, C Jung, M Kearns, S Neel, A Roth, Z Schutzman 2nd ACM Conference on Fairness, Accountability, and Transparency (FAT*-19 …, 2019 | 30 | 2019 |
| Strategic Network Formation with Attack and Immunization S Goyal, S Jabbari, M Kearns, S Khanna, J Morgenstern 12th Conference on Web and Internet Economics (WINE-16), 429-443, 2016 | 28 | 2016 |
| Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs S Jabbari, R Rogers, A Roth, ZS Wu 30th Annual Conference on Neural Information Processing Systems (NIPS-16 …, 2016 | 8 | 2016 |
| PAC Learning with General Class Noise Models S Jabbari, RC Holte, S Zilles 35th German Conference on Artificial Intelligence (KI-2012), 73-84, 2012 | 6 | 2012 |
| Solving Sudoku Using Probabilistic Graphical Models S Khan, S Jabbari, S Jabbari, M Ghanbarinejad Technical Report, 2014 | 5* | 2014 |
| Network Formation under Random Attack and Probabilistic Spread Y Chen, S Jabbari, M Kearns, S Khanna, J Morgenstern 28th International Joint Conference on Artificial Intelligence (IJCAI-19 …, 2019 | 4 | 2019 |
| Equilibrium Characterization for Data Acquisition Games J Dong, H Elzayn, S Jabbari, M Kearns, Z Schutzman 28th International Joint Conference on Artificial Intelligence (IJCAI-19 …, 2019 | 3 | 2019 |
| Fair Influence Maximization: A Welfare Optimization Approach A Rahmattalabi, S Jabbari, H Lakkaraju, P Vayanos, E Rice, M Tambe 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 2 | 2021 |
| Towards the Unification and Robustness of Perturbation and Gradient Based Explanations S Agarwal, S Jabbari, C Agarwal, S Upadhyay, ZS Wu, H Lakkaraju arXiv preprint arXiv:2102.10618, 2021 | | 2021 |
| A Game-Theoretic Approach for Hierarchical Policy-Making F Jia, A Mate, Z Li, S Jabbari, M Chakraborty, M Tambe, M Wellman, ... arXiv preprint arXiv:2102.10646, 2021 | | 2021 |
| Active Screening for Recurrent Diseases: A Reinforcement Learning Approach HC Ou, H Chen, S Jabbari, M Tambe 20th International Conference on Autonomous Agents and Multiagent Systems …, 2021 | | 2021 |
| Exploiting Bounded Rationality in Risk-based Cyber Camouflage Games O Thakoor, S Jabbari, P Aggarwal, C Gonzalez, M Tambe, P Vayanos 11th Conference on Decision and Game Theory for Security (GameSec-20), 103-124, 2020 | | 2020 |
| Fairness and Feedback in Learning and Games S Jabbari University of Pennsylvania, 2019 | | 2019 |
