Achieving Equalized Odds by Resampling Sensitive Attributes

Yaniv Romano, Stephen Bates, Emmanuel J. Candès

Type: Article

Publication Date: 2020-01-01

Citations: 2

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	Achieving Equalized Odds by Resampling Sensitive Attributes	2020	Yaniv Romano Stephen Bates Emmanuel J. Candès
+	Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors	2022	Beepul Bharti Paul H. Yi Jeremias Sulam
+	Group Fairness with Uncertainty in Sensitive Attributes	2023	Abhin Shah Maohao Shen Jongha Jon Ryu Subhro Das Prasanna Sattigeri Yuheng Bu Gregory W. Wornell
+	Equal Opportunity of Coverage in Fair Regression	2023	Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu
+ PDF Chat	FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness	2024	Lucas Rosenblatt R. Teal Witter
+	FairBalance: How to Achieve Equalized Odds With Data Pre-processing	2021	Zhe Yu Joymallya Chakraborty Tim Menzies
+	Attainability and Optimality: The Equalized Odds Fairness Revisited	2022	Zeyu Tang Kun Zhang
+	Effectiveness of Equalized Odds for Fair Classification under Imperfect Group Information.	2019	Pranjal Awasthi Matthäus Kleindeßner Jamie Morgenstern
+	Equalized odds postprocessing under imperfect group information	2019	Pranjal Awasthi Matthäus Kleindeßner Jamie Morgenstern
+	Equalized odds postprocessing under imperfect group information	2020	Pranjal Awasthi Matthäus Kleindeßner Jamie Morgenstern
+	Equalized odds postprocessing under imperfect group information	2019	Pranjal Awasthi Matthäus Kleindeßner Jamie Morgenstern
+	With Malice Towards None: Assessing Uncertainty via Equalized Coverage	2019	Yaniv Romano Rina Foygel Barber Chiara Sabatti Emmanuel J. Candès
+ PDF Chat	Costs and Benefits of Fair Regression	2024	Han Zhao
+	Costs and Benefits of Fair Regression	2021	Han Zhao
+	Impartial Predictive Modeling: Ensuring Group Fairness in Arbitrary Models	2016	Kory D. Johnson Dean P. Foster Robert A. Stine
+	Impartial Predictive Modeling and the Use of Proxy Variables	2016	Kory D. Johnson Dean P. Foster Robert A. Stine
+	Costs and Benefits of Wasserstein Fair Regression.	2021	Han Zhao
+	Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes	2022	Tennison Liu Alex J. Chan Boris van Breugel Mihaela van der Schaar
+ PDF Chat	Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds	2024	Meiyu Zhong Ravi Tandon
+	Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting	2022	Prasanna Sattigeri Soumya K. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney

Works That Cite This (2)

Action	Title	Year	Authors
+	Improving Conditional Coverage via Orthogonal Quantile Regression	2021	S. Feldman Stephen Bates Yaniv Romano
+ PDF Chat	EqGNN: Equalized Node Opportunity in Graphs	2022	Uriel Singer Kira Radinsky

Works Cited by This (0)

Action	Title	Year	Authors