3 papers
cs.AI2026
Revealing Positive and Negative Role Models to Help People Make Good Decisions
Avrim Blum, Keziah Naggita, Matthew R. Walter +1
We consider a setting where agents take action by following their role models in a social network, and study strategies for a social planner to help agents by revealing whether the…
stat.ML2025
PAC Learning with Improvements
Idan Attias, Avrim Blum, Keziah Naggita +3
One of the most basic lower bounds in machine learning is that in nearly any nontrivial setting, it takes samples to learn to error (and more, if th…
cs.LG2025
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita, Matthew R. Walter, Avrim Blum
Recourse generators provide actionable insights, often through feature-based counterfactual explanations (CFEs), to help negatively classified individuals understand how to adjust…