133 citations · 152 across the 7 of their papers we have counts for
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cs.LG2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras, Elliot Creager, Toniann Pitassi +1
How do we learn from biased data? Historical datasets often reflect historical prejudices; sensitive or protected attributes may affect the observed treatments and outcomes. Classi…
cs.LG2018
Learning Adversarially Fair and Transferable Representations
David Madras, Elliot Creager, Toniann Pitassi +1
In this paper, we advocate for representation learning as the key to mitigating unfair prediction outcomes downstream. Motivated by a scenario where learned representations are use…