Shahin Jabbari

38 papers A* 5A 3B 1Misc 1Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A game-theoretic approach for hierarchical epidemic control. Auton. Agents Multi Agent Syst. Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2025	J	`jnl`	Optimal Robust Recourse with L CoRR Phone Kyaw, Kshitij Kayastha, Shahin Jabbari
2024	J	`jnl`	Learning-Augmented Robust Algorithmic Recourse. CoRR Kshitij Kayastha, Vasilis Gkatzelis, Shahin Jabbari
2024	J	`jnl`	The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. Trans. Mach. Learn. Res. Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
2024	—	`conf`	The Evolving Meaning of Trust and Risk in Reddit Discourse about ChatGPT. AMCIS David Gefen, Shahin Jabbari, Rezvaneh (Shadi) Rezapour, Aria Pessianzadeh, Kshitij Kayastha, Hilde Van den Bulck
2023	A	`conf`	Improving Fairness in Adaptive Social Exergames via Shapley Bandits. IUI Robert C. Gray, Jennifer Villareale, Thomas Boyd Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu
2023	J	`jnl`	Improving Fairness in Adaptive Social Exergames via Shapley Bandits. CoRR Robert C. Gray, Jennifer Villareale, Thomas B. Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu
2022	J	`jnl`	Designing effective masking strategies for cyberdefense through human experimentation and cognitive models. Comput. Secur. Palvi Aggarwal, Omkar Thakoor, Shahin Jabbari, Edward A. Cranford, Christian Lebiere, Milind Tambe, Cleotilde Gonzalez
2022	A	`conf`	Solving structured hierarchical games using differential backward induction. UAI Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2022	J	`jnl`	The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. CoRR Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju
2022	J	`jnl`	TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments. CoRR Vivek Khimani, Shahin Jabbari
2021	J	`jnl`	A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2021	A	`conf`	Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. AAMAS Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe
2021	J	`jnl`	Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. CoRR Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe
2021	A*	`conf`	Fair Influence Maximization: a Welfare Optimization Approach. AAAI Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe
2021	J	`jnl`	Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2021	A*	`conf`	Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. ICML Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
2021	J	`jnl`	Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. CoRR Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju
2020	—	`conf`	Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games. GameSec Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal, Cleotilde Gonzalez, Milind Tambe, Phebe Vayanos
2020	J	`jnl`	Fair Influence Maximization: A Welfare Optimization Approach. CoRR Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe
2020	—	`conf`	Robust Lock-Down Optimization for COVID-19 Policy Guidance. AI4SG@AAAI Fall Symposium Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval
2019	A*	`conf`	Equilibrium Characterization for Data Acquisition Games. IJCAI Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
2019	J	`jnl`	Equilibrium Characterization for Data Acquisition Games. CoRR Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
2019	—	`conf`	Fair Algorithms for Learning in Allocation Problems. FAT Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman
2019	A*	`conf`	Network Formation under Random Attack and Probabilistic Spread. IJCAI Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern
2019	J	`jnl`	Network Formation under Random Attack and Probabilistic Spread. CoRR Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern
2018	J	`jnl`	Fair Algorithms for Learning in Allocation Problems. CoRR Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman
2017	J	`jnl`	A Convex Framework for Fair Regression. CoRR Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth
2017	A*	`conf`	Fairness in Reinforcement Learning. ICML Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Aaron Roth
2016	J	`jnl`	Fair Learning in Markovian Environments. CoRR Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Aaron Roth
2016	—	`conf`	Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs. NIPS Shahin Jabbari, Ryan M. Rogers, Aaron Roth, Zhiwei Steven Wu
2016	—	`conf`	Strategic Network Formation with Attack and Immunization. WINE Sanjeev Goyal, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern
2015	J	`jnl`	Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs. CoRR Shahin Jabbari, Ryan M. Rogers, Aaron Roth, Zhiwei Steven Wu
2015	B	`conf`	Online Assignment of Heterogeneous Tasks in Crowdsourcing Markets. HCOMP Sepehr Assadi, Justin Hsu, Shahin Jabbari
2015	J	`jnl`	Online Assignment of Heterogeneous Tasks in Crowdsourcing Markets. CoRR Sepehr Assadi, Justin Hsu, Shahin Jabbari
2015	J	`jnl`	Strategic Network Formation with Attack and Immunization. CoRR Sanjeev Goyal, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern
2013	—	`conf`	Adaptive Task Assignment for Crowdsourced Classification. ICML (1) Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan
2012	Misc	`conf`	PAC-Learning with General Class Noise Models. KI Shahin Jabbari, Robert C. Holte, Sandra Zilles