Fair Meta-Learning: Learning How to Learn Fairly

Fairness through awareness

Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012

Earlier work this paper cites.

Uci machine learning repository

Moshe Lichman · 2013

Earlier work this paper cites.

Certifying and removing disparate impact

Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015

Earlier work this paper cites.

Equality of opportunity in supervised learning

Moritz Hardt, Eric Price, and Nathan Srebro · 2016

Earlier work this paper cites.

Model-agnostic meta-learning for fast adaptation of deep networks

Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017

Earlier work this paper cites.

Discriminatory transfer

Chao Lan and Jun Huan · 2017

Cited alongside, same era.

Fairness constraints: Mechanisms for fair classification

Original

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, and Krishna P. Gummadi · 2017

Cited alongside, same era.

Decoupled classifiers for group-fair and efficient machine learning

Cynthia Dwork, Nicole Immorlica, Adam Tauman Kalai, and Max Leiserson · 2018

Cited alongside, same era.

Residual unfairness in fair machine learning from prejudiced data

Nathan Kallus and Angela Zhou · 2018

Cited alongside, same era.

Learning adversarially fair and transferable representations

David Madras, Elliot Creager, Toniann Pitassi, and Richard Zemel · 2018

Later among the works it cites.

Fair transfer learning with missing protected attributes

Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R Varshney, Skyler Speakman, Zairah Mustahsan, and Supriyo Chakraborty · 2019

Closest in time.

Improving fairness in machine learning systems: What do industry practitioners need?

Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé, III, Miro Dudik, and Hanna Wallach · 2019

Closest in time.

Transfer of machine learning fairness across domains

Original

Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, and Ed H. Chi · 2019

Closest in time.