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Auditing the Imputation Effect on Fairness of Predictive Analytics in
  Higher Education

Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education

13 September 2021
Hadis Anahideh
Parian Haghighat
Nazanin Nezami
Denisa Gándara
ArXivPDFHTML

Papers citing "Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education"

16 / 16 papers shown
Title
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping
L. Kondmann
Xiao Xiang Zhu
45
7
0
04 Aug 2021
Ethics-Based Auditing to Develop Trustworthy AI
Ethics-Based Auditing to Develop Trustworthy AI
Jakob Mokander
Luciano Floridi
11
124
0
30 Apr 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in
  Machine Learning
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Hantian Zhang
Xu Chu
Abolfazl Asudeh
S. Navathe
FaML
VLM
46
45
0
13 Mar 2021
Algorithmic Fairness in Education
Algorithmic Fairness in Education
René F. Kizilcec
Hansol Lee
FaML
49
121
0
10 Jul 2020
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
45
388
0
21 Jan 2020
Fair Active Learning
Fair Active Learning
Hadis Anahideh
Abolfazl Asudeh
Saravanan Thirumuruganathan
FaML
52
52
0
06 Jan 2020
The Impact of Data Preparation on the Fairness of Software Systems
The Impact of Data Preparation on the Fairness of Software Systems
Inês Valentim
Nuno Lourenço
Nuno Antunes
10
25
0
05 Oct 2019
Avoiding Resentment Via Monotonic Fairness
Avoiding Resentment Via Monotonic Fairness
G. W. Cole
Sinead Williamson
FaML
94
7
0
03 Sep 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
235
749
0
13 Dec 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
38
133
0
07 Sep 2018
Fairness and Accountability Design Needs for Algorithmic Support in
  High-Stakes Public Sector Decision-Making
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Michael Veale
Max Van Kleek
Reuben Binns
41
417
0
03 Feb 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup
  Fairness
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns
Seth Neel
Aaron Roth
Zhiwei Steven Wu
FaML
106
775
0
14 Nov 2017
On Fairness and Calibration
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
127
874
0
06 Sep 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
184
1,566
0
20 Mar 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
124
4,276
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
129
1,978
0
11 Dec 2014
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