Brian D. Ziebart

University of Illinois Chicago — United States

Computer Science · Physical Sciences

24h-index5.0kcitations95works0.42yr avg
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Research Topics

Reinforcement Learning in Robotics(14), Adversarial Robustness in Machine Learning(14), Robot Manipulation and Learning(11), Bayesian Modeling and Causal Inference(10), Machine Learning and Algorithms(10)

Publications95 total

Imitation Learning via Focused Satisficing
2025
Imitation Learning via Focused Satisficing
arXiv (Cornell University)·2025Open Access
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
2024
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
arXiv (Cornell University)·2024Open Access
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
arXiv (Cornell University)·2024· 2 citedOpen Access
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
Robot Learning to Mop Like Humans Using Video Demonstrations
2023· 3 cited
Superhuman Fairness
arXiv (Cornell University)·2023Open Access
Fairness for Robust Learning to Rank
Lecture notes in computer science·2023Open Access
Risk-averse policy optimization via risk-neutral policy optimization
Artificial Intelligence·2022· 9 citedOpen Access
Distributionally Robust Imitation Learning
Neural Information Processing Systems·2021· 1 cited
A Remote Health Coaching, Text-Based Walking Program in Ethnic Minority Primary Care Patients With Overweight and Obesity: Feasibility and Acceptability Pilot Study
JMIR Formative Research·2021· 7 citedOpen Access
A Remote Health Coaching, Text-Based Walking Program in Ethnic Minority Primary Care Patients With Overweight and Obesity: Feasibility and Acceptability Pilot Study (Preprint)
2021Open Access
Robust Fairness Under Covariate Shift
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 1 citedOpen Access
Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses
International Journal of Robotic Computing·2021Open Access
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
arXiv (Cornell University)·2021· 17 citedOpen Access
Feedback in Imitation Learning: Confusion on Causality and Covariate Shift
arXiv (Cornell University)·2021Open Access
Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches
2021· 1 citedOpen Access
Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses
2020· 2 cited
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
Journal of Intelligent Manufacturing·2020· 84 cited
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Frequent Co-authors

J. Andrew Bagnell(13), Anind K. Dey(11), Anqi Liu(7), Kaiser Asif(5), Mathew Monfort(5), Rizal Fathony(4), Sima Behpour(4), Itika Gupta(4), Barbara Di Eugenio(4), Ben S. Gerber(4), Lisa K. Sharp(4), Andrew L. Maas(3), Martial Hebert(3), Tanya Berger‐Wolf(3), Roy H. Campbell(3), Xing Wei(3), Sanket Gaurav(3), Kris Kitani(2), Nathan Ratliff(2), Kevin Peterson(2)