Mozannar, Hussein

10 publications

TMLR 2025 The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David Sontag

AAAI 2024 When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

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

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

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

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

ICML 2022 Sample Efficient Learning of Predictors That Complement Humans Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, Samira Samadi

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

ICML 2020 Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar, David Sontag

ICML 2020 Fair Learning with Private Demographic Data Hussein Mozannar, Mesrob Ohannessian, Nathan Srebro