Jabbari, Shahin

10 publications

TMLR 2024 The Disagreement Problem in Explainable Machine Learning: A Practitioner’s Perspective Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju

UAI 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

ICLRW 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

AAAI 2021 Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

ICML 2021 Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju

IJCAI 2019 Equilibrium Characterization for Data Acquisition Games Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman

IJCAI 2019 Network Formation Under Random Attack and Probabilistic Spread Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern

ICML 2017 Fairness in Reinforcement Learning Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth

NeurIPS 2016 Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs Shahin Jabbari, Ryan M Rogers, Aaron Roth, Steven Z. Wu

ICML 2013 Adaptive Task Assignment for Crowdsourced Classification Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan