Predict Responsibly: Increasing Fairness by Learning To Defer

Type: Article

Publication Date: 2017-11-17

Citations: 4

Similar Works

Action Title Year Authors
+ Predict Responsibly: Increasing Fairness by Learning to Defer 2018 David Madras
Toniann Pitassi
Richard S. Zemel
+ Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer 2017 David Madras
Toniann Pitassi
Richard S. Zemel
+ Towards Unbiased and Accurate Deferral to Multiple Experts 2021 Vijay Keswani
Matthew Lease
Krishnaram Kenthapadi
+ Towards Unbiased and Accurate Deferral to Multiple Experts 2021 Vijay Keswani
Matthew Lease
Krishnaram Kenthapadi
+ PDF Chat Towards Unbiased and Accurate Deferral to Multiple Experts 2021 Vijay Keswani
Matthew Lease
Krishnaram Kenthapadi
+ Fair Decisions Despite Imperfect Predictions 2019 Niki Kilbertus
Manuel Gomez-Rodriguez
Bernhard Schölkopf
Krikamol Muandet
Isabel Valera
+ You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. 2021 Tianxiang Zhao
Enyan Dai
Kai Shu
Suhang Wang
+ Designing Closed Human-in-the-loop Deferral Pipelines 2022 Vijay Keswani
Matthew Lease
Krishnaram Kenthapadi
+ PDF Chat Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective 2025 Charlotte Leininger
Simon Rittel
Ludwig Bothmann
+ PDF Chat Post-processing fairness with minimal changes 2024 Federico Di Gennaro
Thibault Laugel
Vincent Grari
Xavier Renard
Marcin Detyniecki
+ PDF Chat Towards Fair Classifiers Without Sensitive Attributes 2022 Tianxiang Zhao
Enyan Dai
Kai Shu
Suhang Wang
+ FEAMOE: Fair, Explainable and Adaptive Mixture of Experts 2022 Shubham Sharma
Jette Henderson
Joydeep Ghosh
+ PDF Chat TowerDebias: A Novel Debiasing Method based on the Tower Property 2024 Norman Matloff
Aditya Mittal
+ PDF Chat FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness 2024 Lucas Rosenblatt
R. Teal Witter
+ FEAMOE: Fair, Explainable and Adaptive Mixture of Experts 2023 Shubham Sharma
Jette Henderson
Joydeep Ghosh
+ Mitigating Label Bias in Machine Learning: Fairness through Confident Learning 2023 Yixuan Zhang
Boyu Li
Zenan Ling
Feng Zhou
+ PDF Chat Mitigating Label Bias in Machine Learning: Fairness through Confident Learning 2024 Yixuan Zhang
Boyu Li
Zenan Ling
Feng Zhou
+ Modeling Techniques for Machine Learning Fairness: A Survey 2021 Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
+ Learning Fair Rule Lists 2019 Ulrich Aïvodji
Julien Ferry
Sébastien Gambs
Marie‐José Huguet
Mohamed Siala
+ Fairness Constraints: Mechanisms for Fair Classification 2015 Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez-Rodriguez
Krishna P. Gummadi

Works Cited by This (0)

Action Title Year Authors