Search Results for author: Dana Pessach

Found 2 papers, 0 papers with code

Fairness-Driven Private Collaborative Machine Learning

no code implementations29 Sep 2021 Dana Pessach, Tamir Tassa, Erez Shmueli

The performance of machine learning algorithms can be considerably improved when trained over larger datasets.

BIG-bench Machine Learning Fairness +1

Algorithmic Fairness

no code implementations21 Jan 2020 Dana Pessach, Erez Shmueli

The paper begins by discussing the causes of algorithmic bias and unfairness and the common definitions and measures for fairness.

Decision Making Fairness

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