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Fair Algorithm Design: Fair and Efficacious Machine Scheduling

Fair Algorithm Design: Fair and Efficacious Machine Scheduling

13 April 2022
April Niu
Agnes Totschnig
A. Vetta
    FaML
ArXivPDFHTML

Papers citing "Fair Algorithm Design: Fair and Efficacious Machine Scheduling"

21 / 21 papers shown
Title
Multi-group Agnostic PAC Learnability
Multi-group Agnostic PAC Learnability
G. Rothblum
G. Yona
FaML
110
38
0
20 May 2021
How Costly is Noise? Data and Disparities in Consumer Credit
How Costly is Noise? Data and Disparities in Consumer Credit
Laura Blattner
Scott Nelson
38
43
0
17 May 2021
Outcome Indistinguishability
Outcome Indistinguishability
Cynthia Dwork
Michael P. Kim
Omer Reingold
G. Rothblum
G. Yona
52
63
0
26 Nov 2020
Active Fairness Instead of Unawareness
Active Fairness Instead of Unawareness
Boris Ruf
Marcin Detyniecki
FaML
15
6
0
14 Sep 2020
Societal biases reinforcement through machine learning: A credit scoring
  perspective
Societal biases reinforcement through machine learning: A credit scoring perspective
Bertrand K. Hassani
FaML
23
23
0
15 Jun 2020
Individual Fairness in Pipelines
Individual Fairness in Pipelines
Cynthia Dwork
Christina Ilvento
Meena Jagadeesan
FaML
51
40
0
12 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork
Christina Ilvento
G. Rothblum
Pragya Sur
FaML
68
6
0
04 Apr 2020
On the Apparent Conflict Between Individual and Group Fairness
On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns
FaML
64
311
0
14 Dec 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAU
FaML
60
521
0
21 Jun 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
245
754
0
13 Dec 2018
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
123
1,886
0
05 Oct 2018
Delayed Impact of Fair Machine Learning
Delayed Impact of Fair Machine Learning
Lydia T. Liu
Sarah Dean
Esther Rolf
Max Simchowitz
Moritz Hardt
FaML
82
477
0
12 Mar 2018
Runaway Feedback Loops in Predictive Policing
Runaway Feedback Loops in Predictive Policing
D. Ensign
Sorelle A. Friedler
Scott Neville
C. Scheidegger
Suresh Venkatasubramanian
63
345
0
29 Jun 2017
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
103
581
0
08 Jun 2017
Fair Inference On Outcomes
Fair Inference On Outcomes
Razieh Nabi
I. Shpitser
FaML
49
351
0
29 May 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
49
994
0
27 Mar 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
195
1,576
0
20 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
295
2,109
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
192
4,301
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
99
1,767
0
19 Sep 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
92
3,127
0
21 Jul 2016
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