Hussein Mozannar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Demographic Data

Efficient Learning

Exact Algorithms

Top Venues

Publications

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
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. CoRR (2024)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI (2024)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI (2024)
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 Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David A. Sontag
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. CoRR (2024)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS (2023)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR (2023)
Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. NeurIPS (2023)
Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR (2023)
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. CoRR (2023)
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. AISTATS (2023)
Hussein Mozannar, Jimin J. Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. CoRR (2023)
Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David A. Sontag
Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. CoRR (2023)
Hussein Mozannar, Arvind Satyanarayan, David A. Sontag
Teaching Humans When to Defer to a Classifier via Exemplars. AAAI (2022)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR (2022)
Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi
Sample Efficient Learning of Predictors that Complement Humans. CoRR (2022)
Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi
Sample Efficient Learning of Predictors that Complement Humans. ICML (2022)
Hussein Mozannar, Arvind Satyanarayan, David A. Sontag
Teaching Humans When To Defer to a Classifier via Examplars. CoRR (2021)
Hussein Mozannar, David A. Sontag
Consistent Estimators for Learning to Defer to an Expert. CoRR (2020)
Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
Fair Learning with Private Demographic Data. CoRR (2020)
Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
Fair Learning with Private Demographic Data. ICML (2020)
Hussein Mozannar, David A. Sontag
Consistent Estimators for Learning to Defer to an Expert. ICML (2020)
Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem M. Hajj
Neural Arabic Question Answering. CoRR (2019)
Hussein Mozannar, Elie Maamary, Karl El Hajal, Hazem M. Hajj
Neural Arabic Question Answering. WANLP@ACL 2019 (2019)