scholarly journals WHAT IS...an Approximate Group?

2012 ◽  
Vol 59 (05) ◽  
pp. 1 ◽  
Author(s):  
Ben Green
Keyword(s):  
Approximate Group

scholarly journals Towards Reducing Biases in Combining Multiple Experts Online

2021 ◽  
Author(s):  
Yi Sun ◽  
Iván Ramírez Díaz ◽  
Alfredo Cuesta Infante ◽  
Kalyan Veeramachaneni
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Real Life ◽  
Real Data ◽  
Decision Making Process ◽  
Data Sets ◽  
Finite Set ◽  
Multiple Experts ◽  
Approximate Group ◽  
Theoretical Results

In many real life situations, including job and loan applications, gatekeepers must make justified and fair real-time decisions about a person’s fitness for a particular opportunity. In this paper, we aim to accomplish approximate group fairness in an online stochastic decision-making process, where the fairness metric we consider is equalized odds. Our work follows from the classical learning-from-experts scheme, assuming a finite set of classifiers (human experts, rules, options, etc) that cannot be modified. We run separate instances of the algorithm for each label class as well as sensitive groups, where the probability of choosing each instance is optimized for both fairness and regret. Our theoretical results show that approximately equalized odds can be achieved without sacrificing much regret. We also demonstrate the performance of the algorithm on real data sets commonly used by the fairness community.

scholarly journals Approximate group context tree

2017 ◽  
Vol 45 (1) ◽  
pp. 355-385 ◽  
Author(s):  
Alexandre Belloni ◽  
Roberto I. Oliveira
Keyword(s):  
Group Context ◽  
Context Tree ◽  
Approximate Group

On approximate group homomorphisms

2018 ◽  
Vol 462 (1) ◽  
pp. 505-520
Author(s):  
Roman Badora ◽  
Barbara Przebieracz
Keyword(s):  
Approximate Group
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