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Satisfying Real-world Goals with Dataset Constraints
v1v2 (latest)

Satisfying Real-world Goals with Dataset Constraints

Neural Information Processing Systems (NeurIPS), 2016
24 June 2016
Gabriel Goh
Andrew Cotter
Maya R. Gupta
M. Friedlander
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Satisfying Real-world Goals with Dataset Constraints"

27 / 127 papers shown
Stable and Fair Classification
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
377
71
0
21 Feb 2019
Improved Adversarial Learning for Fair Classification
Improved Adversarial Learning for Fair Classification
L. E. Celis
Vijay Keswani
FaML
217
46
0
29 Jan 2019
Identifying and Correcting Label Bias in Machine Learning
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang
Ofir Nachum
FaML
289
311
0
15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and
  Improvements
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel
Jilin Chen
Tulsee Doshi
Hai Qian
Allison Woodruff
Christine Luu
Pierre Kreitmann
Jonathan Bischof
Ed H. Chi
FaML
227
166
0
14 Jan 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson
Margaret Mitchell
AILawFaML
323
380
0
25 Nov 2018
On preserving non-discrimination when combining expert advice
On preserving non-discrimination when combining expert advice
Avrim Blum
Suriya Gunasekar
Thodoris Lykouris
Nathan Srebro
FaML
141
30
0
28 Oct 2018
Tuning Fairness by Balancing Target Labels
Tuning Fairness by Balancing Target Labels
T. Kehrenberg
Zexun Chen
Novi Quadrianto
308
4
0
12 Oct 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds
Fairness-aware Classification: Criterion, Convexity, and Bounds
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
155
27
0
13 Sep 2018
Optimization with Non-Differentiable Constraints with Applications to
  Fairness, Recall, Churn, and Other Goals
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter
Heinrich Jiang
S. Wang
Taman Narayan
Maya R. Gupta
Seungil You
Karthik Sridharan
223
171
0
11 Sep 2018
Automated Directed Fairness Testing
Automated Directed Fairness TestingInternational Conference on Automated Software Engineering (ASE), 2018
Sakshi Udeshi
Pryanshu Arora
Sudipta Chattopadhyay
FaML
192
189
0
02 Jul 2018
Training Well-Generalizing Classifiers for Fairness Metrics and Other
  Data-Dependent Constraints
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent ConstraintsInternational Conference on Machine Learning (ICML), 2018
Andrew Cotter
Maya R. Gupta
Heinrich Jiang
Nathan Srebro
Karthik Sridharan
S. Wang
Blake E. Woodworth
Seungil You
FaML
311
111
0
29 Jun 2018
Proxy Fairness
Proxy Fairness
Maya R. Gupta
Andrew Cotter
M. M. Fard
S. Wang
162
75
0
28 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable
  Guarantees
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
500
339
0
15 Jun 2018
Metric-Optimized Example Weights
Metric-Optimized Example Weights
Sen Zhao
M. M. Fard
Harikrishna Narasimhan
Maya R. Gupta
131
17
0
27 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
S. Kiritchenko
Saif M. Mohammad
FaML
292
490
0
11 May 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization
Two-Player Games for Efficient Non-Convex Constrained Optimization
Andrew Cotter
Heinrich Jiang
Karthik Sridharan
283
123
0
17 Apr 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Daniel Alabi
Nicole Immorlica
Adam Tauman Kalai
FedMLFaML
144
28
0
11 Apr 2018
Characterizing Interconnections and Linguistic Patterns in Twitter
Characterizing Interconnections and Linguistic Patterns in Twitter
Johnnatan Messias
103
0
0
30 Mar 2018
Constrained Classification and Ranking via Quantiles
Constrained Classification and Ranking via Quantiles
Alan Mackey
Xiyang Luo
Elad Eban
129
6
0
28 Feb 2018
The Promise and Peril of Human Evaluation for Model Interpretability
Bernease Herman
192
149
0
20 Nov 2017
Does mitigating ML's impact disparity require treatment disparity?
Does mitigating ML's impact disparity require treatment disparity?
Zachary Chase Lipton
Alexandra Chouldechova
Julian McAuley
179
17
0
19 Nov 2017
Spectral Algorithms for Computing Fair Support Vector Machines
Spectral Algorithms for Computing Fair Support Vector Machines
Matt Olfat
A. Aswani
FaML
120
36
0
16 Oct 2017
Two-stage Algorithm for Fairness-aware Machine Learning
Two-stage Algorithm for Fairness-aware Machine Learning
Junpei Komiyama
Hajime Shimao
FaML
113
24
0
13 Oct 2017
On Fairness and Calibration
On Fairness and Calibration
Geoff Pleiss
Manish Raghavan
Felix Wu
Jon M. Kleinberg
Kilian Q. Weinberger
FaML
405
951
0
06 Sep 2017
From Parity to Preference-based Notions of Fairness in Classification
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
Adrian Weller
FaML
289
217
0
30 Jun 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning
  Classification without Disparate Mistreatment
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
442
1,272
0
26 Oct 2016
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
698
97
0
01 Oct 2016
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