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Serena Wang

Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry

May 24, 2023
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Lost in Translation: Reimagining the Machine Learning Life Cycle in Education

Sep 08, 2022
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Robust Distillation for Worst-class Performance

Jun 13, 2022
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Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence

Jun 30, 2021
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Multi-Source Causal Inference Using Control Variates

Mar 30, 2021
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Regularization Strategies for Quantile Regression

Feb 09, 2021
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Robust Optimization for Fairness with Noisy Protected Groups

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Feb 21, 2020
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Deontological Ethics By Monotonicity Shape Constraints

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Jan 31, 2020
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Pairwise Fairness for Ranking and Regression

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Jun 12, 2019
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Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

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Sep 28, 2018
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