4 papers
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar, David Sontag
Learning algorithms are often used in conjunction with expert decision makers in practical scenarios, however this fact is largely ignored when designing these algorithms. In this…
Fair Learning with Private Demographic Data
Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
Sensitive attributes such as race are rarely available to learners in real world settings as their collection is often restricted by laws and regulations. We give a scheme that all…
Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary +1
This paper tackles the problem of open domain factual Arabic question answering (QA) using Wikipedia as our knowledge source. This constrains the answer of any question to be a spa…
From Fair Decision Making to Social Equality
Hussein Mozannar, Mesrob I. Ohannessian, Nathan Srebro
The study of fairness in intelligent decision systems has mostly ignored long-term influence on the underlying population. Yet fairness considerations (e.g. affirmative action) hav…