Fair Bayesian Optimization

9 Jun 2020Valerio PerroneMichele DoniniKrishnaram KenthapadiCédric Archambeau

Given the increasing importance of machine learning (ML) in our lives, algorithmic fairness techniques have been proposed to mitigate biases that can be amplified by ML. Commonly, these specialized techniques apply to a single family of ML models and a specific definition of fairness, limiting their effectiveness in practice... (read more)

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