A confidence-based approach for balancing fairness and accuracy

16th SIAM International Conference on Data Mining 2016, SDM 2016

Volumn , Issue , 2016, Pages 144-152

  Fish, Benjamin ^a   Kun, Jeremy ^a   Lelkes, Ádám D ^a  

^a University of Illinois   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; BALANCING; DATA MINING; ECONOMIC AND SOCIAL EFFECTS; SUPPORT VECTOR MACHINES;

BIAS ERROR; DECISION BOUNDARY; FAIRNESS ALGORITHM; HIGH-ACCURACY; LOGISTIC REGRESSIONS; LOW BIAS; TRADE OFF;

MACHINE LEARNING;

EID: 84991670278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611974348.17     Document Type: Conference Paper

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