mitigation: equality of opportunity #7
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basukinjal
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Mar 20, 2021
lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/mitigation/EOppUtils.scala
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lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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lift/src/main/scala/com/linkedin/lift/mitigation/EOppUtils.scala
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lift/src/main/scala/com/linkedin/lift/mitigation/EOppUtils.scala
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sriramvasudevan
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Mar 26, 2021
lift/src/main/scala/com/linkedin/lift/lib/PositionBiasUtils.scala
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sriramvasudevan
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Mar 29, 2021
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Thanks @preetamnandy! I've approved the changes from my end. |
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Thanks! Next time, let's squash and merge to keep the commit history clean. :) |
sriramvasudevan
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Providing an algorithm for achieving equality of opportunity (EOpp) in rankings in the presence of position bias. This can be done in two steps: (1) debiasing training data to remove the effect of position bias (PositionBiasUtils.scala), and (2) learning the EOpp transformation using the debiased data (EOppUtils.scala). A detailed example based on simulated datasets can be found in EOppUtilsTest.scala.