42 citations · 77 across the 14 of their papers we have counts for
18 papers
Imitation Learning via Focused Satisficing
Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski +3
Imitation learning often assumes that demonstrations are close to optimal according to some fixed, but unknown, cost function. However, according to satisficing theory, humans ofte…
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
Yue Zhou, Barbara Di Eugenio, Brian Ziebart +3
Health coaching helps patients achieve personalized and lifestyle-related goals, effectively managing chronic conditions and alleviating mental health issues. It is particularly be…
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
Yue Zhou, Barbara Di Eugenio, Brian Ziebart +5
Health coaching helps patients identify and accomplish lifestyle-related goals, effectively improving the control of chronic diseases and mitigating mental health conditions. Howev…
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li, Brian D. Ziebart
We consider the problem of learning the exact skeleton of general discrete Bayesian networks from potentially corrupted data. Building on distributionally robust optimization and a…
Superhuman Fairness
Omid Memarrast, Linh Vu, Brian Ziebart
The fairness of machine learning-based decisions has become an increasingly important focus in the design of supervised machine learning methods. Most fairness approaches optimize…
Fairness for Robust Learning to Rank
Omid Memarrast, Ashkan Rezaei, Rizal Fathony +1
While conventional ranking systems focus solely on maximizing the utility of the ranked items to users, fairness-aware ranking systems additionally try to balance the exposure for…