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Fair Algorithms for Learning in Allocation Problems.
Hadi Elzayn
Shahin Jabbari
Christopher Jung
Michael J. Kearns
Seth Neel
Aaron Roth
Zachary Schutzman
Published in:
CoRR (2018)
Keyphrases
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learning algorithm
theoretical analysis
noise tolerant
reinforcement learning
prior knowledge
machine learning algorithms
learning systems
orders of magnitude
data structure
active learning
significant improvement
computationally efficient
petri net
learning problems
learning models
inductive inference