Hussein Mozannar

According to our database, Hussein Mozannar authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study.

Niklas Mannhardt, Elizabeth Bondi-Kelly, Barbara Lam, Chloe O'Connell, Mercy Asiedu, Hussein Mozannar, Monica Agrawal, Alejandro Buendia, Tatiana Urman, Irbaz B. Riaz, Catherine E. Ricciardi, Marzyeh Ghassemi, David A. Sontag

CoRR, 2024

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming.

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration.

Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David A. Sontag

CoRR, 2023

Effective Human-AI Teams via Learned Natural Language Rules and Onboarding.

Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.

Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Who Should Predict? Exact Algorithms For Learning to Defer to Humans.

Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming.

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

CoRR, 2022

Sample Efficient Learning of Predictors that Complement Humans.

Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi

Proceedings of the International Conference on Machine Learning, 2022

Teaching Humans When to Defer to a Classifier via Exemplars.

Hussein Mozannar, Arvind Satyanarayan, David A. Sontag

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Teaching Humans When To Defer to a Classifier via Examplars.

Hussein Mozannar, Arvind Satyanarayan, David A. Sontag

CoRR, 2021

2020

Consistent Estimators for Learning to Defer to an Expert.

Hussein Mozannar, David A. Sontag

Proceedings of the 37th International Conference on Machine Learning, 2020

Fair Learning with Private Demographic Data.

Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Neural Arabic Question Answering.

Hussein Mozannar, Elie Maamary, Karl El Hajal, Hazem M. Hajj

Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019