Multiplier tuning postprocessing for machine learning bias mitigation
AssigneeOracle International Corporation
InventorsMathieu Godbout, Yasha Pushak, Hesam Fathi Moghadam, Sungpack Hong, Hassan Chafi
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AssigneeOracle International Corporation
InventorsMathieu Godbout, Yasha Pushak, Hesam Fathi Moghadam, Sungpack Hong, Hassan Chafi
Estimating the term…
In an embodiment, a computer infers, from an input (e.g. that represents a person) that contains a value of a sensitive feature that has a plurality of multipliers, a probability of a majority class (i.e. an outcome). Based on the value of the sensitive feature in the input, from the multipliers of the sensitive feature, a multiplier is selected that is specific to both of the sensitive feature and the value of the sensitive feature. The input is classified based on a multiplicative product of the probability of the majority class and the multiplier that is specific to both of the sensitive feature and the value of the sensitive feature. In an embodiment, a black-box bi-objective optimizer generates multipliers on a Pareto frontier from which a user may interactively select a combination of multipliers that provide a best tradeoff between fairness and accuracy.
A method comprising:
A method comprising:
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause:
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause:
Dependencies are inferred from the claim text.