Safwan Hossain

According to our database, Safwan Hossain authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement.

Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng

CoRR, March, 2026

2025

Learning to Play Multi-Follower Bayesian Stackelberg Games.

Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes

CoRR, October, 2025

Information Design With Large Language Models.

Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo

CoRR, September, 2025

Strategic Hypothesis Testing.

Yatong Chen, Safwan Hossain, Yiling Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Strategic Classification With Externalities.

Safwan Hossain, Evi Micha, Yiling Chen, Ariel D. Procaccia

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

JacNet: Learning Functions with Structured Jacobians.

Jonathan Lorraine, Safwan Hossain

CoRR, 2024

Social Environment Design.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

CoRR, 2024

Computing Voting Rules with Elicited Incomplete Votes.

Daniel Halpern, Safwan Hossain, Jamie Tucker-Foltz

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.

Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Persuasive Approach to Combating Misinformation.

Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equilibrium of Data Markets with Externality.

Safwan Hossain, Yiling Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-Sender Persuasion: A Computational Perspective.

Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Equilibrium and Learning in Fixed-Price Data Markets with Externality.

Yiling Chen, Safwan Hossain

CoRR, 2023

Proportionally Fair Online Allocation of Public Goods with Predictions.

Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Fair Algorithms for Multi-Agent Multi-Armed Bandits.

Safwan Hossain, Evi Micha, Nisarg Shah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Designing Fairly Fair Classifiers Via Economic Fairness Notions.

Safwan Hossain, Andjela Mladenovic, Nisarg Shah

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

The Effect of Strategic Noise in Linear Regression.

Safwan Hossain, Nisarg Shah

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP.

John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

The Surprising Power of Hiding Information in Facility Location.

Safwan Hossain, Evi Micha, Nisarg Shah

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generative Adversarial Networks for Text Using Word2vec Intermediaries.

Akshay Budhkar, Krishnapriya Vishnubhotla, Safwan Hossain, Frank Rudzicz

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

2018

ChainGAN: A sequential approach to GANs.

Safwan Hossain, Kiarash Jamali, Yuchen Li, Frank Rudzicz

CoRR, 2018

DeepConsensus: using the consensus of features from multiple layers to attain robust image classification.

Yuchen Li, Safwan Hossain, Kiarash Jamali, Frank Rudzicz

CoRR, 2018