Publications

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz (2024). Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI.

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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 Sontag (2024). Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. preprint arXiv:2401.09637.

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Hussein Mozannar, Valerie Chen, Dennis Wei, Prasanna Sattigeri, Manish Nagireddy, Subhro Das, Ameet Talwalkar, David Sontag (2023). Simulating Iterative Human-AI Interaction in Programming with LLMs. NeurIPS 2023 Workshop.

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Hussein Mozannar, Jimin J Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag (2023). Effective Human-AI Teams via Learned Natural Language Rules and Onboarding . NeurIPS.

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Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An (2023). In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS.

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Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz (2023). When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI.

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Hussein Mozannar, Yuria Utsumi, Irene Y Chen, Stephanie S Gervasi, Michele Ewing, Aaron Smith-McLallen, David Sontag (2023). Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. arxiv.

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Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag (2023). Who Should Predict? Exact Algorithms For Learning to Defer to Humans. AISTATS.

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Hussein Mozannar, Arvind Satyanarayan, David Sontag (2022). Teaching Humans When To Defer to a Classifier via Exemplars. AAAI.

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Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, Samira Samadi (2022). Sample Efficient Learning of Predictors that Complement Humans. International Conference on Machine Learning.

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Michael Doron, Hussein Mozannar, David Sontag, Juan C Caicedo (2021). Machine Teaching with Generative Models for Human Learning. Third ICML Workshopon Human In the Loop Learning (ICML 2021 HILL).

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Hussein Mozannar, Mesrob Ohannessian, Nathan Srebro (2020). Fair learning with private demographic data. International Conference on Machine Learning (ICML).

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Hussein Mozannar, David Sontag (2020). Consistent Estimators for Learning to Defer to an Expert. International Conference on Machine Learning.

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Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem Hajj (2019). Neural Arabic Question Answering. Proceedings of the Fourth Arabic Natural Language Processing Workshop.

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Hussein Mouzannar, Mesrob I Ohannessian, Nathan Srebro (2019). From fair decision making to social equality. Proceedings of the Conference on Fairness, Accountability, and Transparency (Facct).

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Hussein Mouzannar, Yara Rizk, Mariette Awad (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning. ISCRAM 2018 – 15th International Conference on Information Systems for Crisis Response and Management.

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